# Best Generative AI Infrastructure Software - Page 6 *By [Bijou Barry](https://research.g2.com/insights/author/bijou-barry)* Generative AI infrastructure software provides the scalable, secure, and high-performance environment needed to train, deploy, and manage generative models such as large language models (LLMs). These tools address challenges related to model scalability, inference speed, availability, and resource optimization to support production-grade generative AI workloads. ### Core Capabilities of Generative AI Infrastructure Software To qualify for inclusion in the Generative AI Infrastructure category, a product must: - Provide scalable options for model training and inference - Offer a transparent and flexible pricing model for computational resources and API calls - Enable secure data handling through features like data encryption and GDPR compliance - Support easy integration into existing data pipelines and workflows, preferably through APIs or pre-built connectors ### Common Use Cases for Generative AI Infrastructure Software - Training large language models (LLMs) or fine-tuning existing models using scalable compute resources. - Running high-performance inference for chatbots, virtual assistants, content generation tools, and other AI-powered applications. - Deploying generative AI models into production with reliable autoscaling, load balancing, and monitoring capabilities. - Supporting hybrid or on-premises deployments for organizations with strict data residency or security requirements. - Integrating generative AI capabilities into existing data pipelines using APIs, connectors, or SDKs. - Managing compute costs through transparent pricing, resource optimization, and usage-based billing models. - Ensuring secure handling of sensitive data with encryption, access controls, private environments, and compliance features. - Running continuous experimentation, evaluation, and A/B testing for generative model improvements. - Building custom applications, such as summarization engines, code assistants, or generative design tools, on top of pre-trained foundation models. ### How Generative AI Infrastructure Software Differs from Other Tools Generative AI infrastructure software differs from broader cloud computing or machine learning platforms by focusing on the specialized needs of generative models, including optimized training environments, fine-tuning support, and robust security for sensitive data. Unlike other generative AI tools that provide pre-built applications, these solutions deliver the underlying infrastructure developers and engineers require to build custom generative AI systems. ### Insights from G2 on Generative AI Infrastructure Software Based on category trends on G2, strong performance, reliability, and flexible deployment models, noting that access to pre-trained models, fine-tuning capabilities, and real-time monitoring help accelerate development while maintaining operational control. ## Category Overview **Total Products under this Category:** 373 ## Trust & Credibility Stats **Why You Can Trust G2's Software Rankings:** - 30 Analysts and Data Experts - 6,800+ Authentic Reviews - 373+ Products - Unbiased Rankings G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category. ## Best Generative AI Infrastructure Software At A Glance - **Leader:** [Vertex AI](https://www.g2.com/products/google-vertex-ai/reviews) - **Highest Performer:** [Workato](https://www.g2.com/products/workato/reviews) - **Easiest to Use:** [Voiceflow](https://www.g2.com/products/voiceflow/reviews) - **Top Trending:** [Botpress](https://www.g2.com/products/botpress/reviews) - **Best Free Software:** [Databricks](https://www.g2.com/products/databricks/reviews) ## Top-Rated Products (Ranked by G2 Score) ### 1. [Bagel model](https://www.g2.com/products/bagel-model/reviews) BAGEL is an open-source, unified multimodal model developed by ByteDance's Seed team, designed to seamlessly integrate text, image, and video processing capabilities. Leveraging a Mixture-of-Transformer-Experts (MoT) architecture, BAGEL excels in tasks such as text-to-image generation, image editing, style transfer, and complex visual reasoning. Pretrained on extensive interleaved multimodal data, it demonstrates emergent abilities in understanding and generating high-fidelity, contextually rich outputs across various modalities. Key Features: - Unified Multimodal Processing: Combines text, image, and video understanding and generation within a single model. - Advanced Image Generation and Editing: Produces photorealistic images from text prompts and performs intelligent image editing. - Style Transfer: Transforms images across different artistic styles with minimal alignment data. - World Navigation and Future Prediction: Exhibits capabilities in 3D manipulation, future frame prediction, and environment navigation. - Open-Source Accessibility: Available under the Apache 2.0 license, allowing for fine-tuning, distillation, and deployment across platforms. Primary Value and Problem Solved: BAGEL addresses the need for a versatile, open-source model capable of performing complex multimodal tasks that were previously restricted to proprietary systems. By unifying understanding and generation across text, images, and videos, it empowers developers and researchers to create innovative applications in content creation, virtual environment simulation, and beyond, without the constraints of vendor lock-in. **Seller Details:** - **Seller:** [Bagel AI](https://www.g2.com/sellers/bagel-ai-a48d5697-88fe-4894-bdf4-714f4939b1d2) - **Year Founded:** 2022 - **HQ Location:** San Francisco, US - **LinkedIn® Page:** https://www.linkedin.com/company/getbagel/ (29 employees on LinkedIn®) ### 2. [Baseten](https://www.g2.com/products/baseten/reviews) Baseten provides a platform for high-performance inference. It delivers the fastest model runtimes, cross-cloud high availability, and seamless developer workflows all powered by the Baseten Inference Stack. Baseten offers 3 core products: - Dedicated inference - to serve open-source, custom, and fine-tuned AI models on infrastructure purpose-built for high performance inference at massive scale. - Models APIs - to test new workloads, prototype products for evaluate the latest models optimized to be the fastest in production. - Training - to train models and easily deploy them in one click on inference-optimized infrastructure for the best possible performance. Developers using Baseten can choose from 3 deployment options depending on their needs. - Baseten Cloud to run production AI across any cloud provider with ultra-low latency, high availability, and effortless autoscaling. - Baseten Self-Hosted to run product AI at low latency and high throughput in the customer's own VPC. - Baseten Hybrid delivers the performance of a managed service in the customer's VPC with seamless overflow to Baseten Cloud. **Seller Details:** - **Seller:** [Baseten](https://www.g2.com/sellers/baseten) - **HQ Location:** San Francisco, US - **LinkedIn® Page:** https://www.linkedin.com/company/baseten (79 employees on LinkedIn®) ### 3. [Batteries Included](https://www.g2.com/products/batteries-included/reviews) Batteries Included is a comprehensive, self-hosted AI and DevOps platform designed to simplify the deployment and management of modern software infrastructure. By integrating essential tools such as large language models, vector databases, Jupyter notebooks, and serverless web services, it enables organizations to build, train, and deploy AI applications efficiently. The platform emphasizes ease of use, eliminating the need for complex configurations and allowing users to focus on innovation rather than infrastructure management. Key Features and Functionality: - Rapid Deployment of AI Models and Tools: Quickly launch production-ready large language models, vector databases, and Jupyter notebooks without intricate setup processes. - Automated Infrastructure Management: Utilize pre-configured components, referred to as "batteries," to deploy databases, monitoring tools, and AI/ML resources seamlessly. - Enterprise-Grade Security: Implement robust security measures, including Single Sign-On (SSO), mesh networking, automated SSL, and dynamic permission configurations, all managed from a unified command center. - Efficient Scaling and Monitoring: Benefit from dynamic scaling capabilities for web services and databases, coupled with integrated monitoring tools like Grafana and VictoriaMetrics for real-time performance insights. Primary Value and Problem Solved: Batteries Included addresses the complexities associated with deploying and managing AI and DevOps infrastructure. By offering an integrated, self-hosted platform that automates configuration and scaling, it reduces operational overhead and accelerates development cycles. This empowers organizations to focus on delivering innovative products and services without being encumbered by the intricacies of infrastructure management. **Seller Details:** - **Seller:** [Batteriesincl](https://www.g2.com/sellers/batteriesincl) - **Year Founded:** 2021 - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/batteries-included-corp (4 employees on LinkedIn®) ### 4. [BioLM](https://www.g2.com/products/biolm/reviews) BioLM is an AI-driven platform specializing in enzyme and therapeutics design, discovery, and optimization. It offers custom AI workflows, in-silico variant analysis, and seamless integration of AI into wet-lab projects, catering to the biotech and life science industries. Founded in 2022 and based in Shingle Springs, California, BioLM provides scalable solutions for protein and DNA modeling, including secure tokenization, regression, classification, de novo generation, and folding. Users can access state-of-the-art models via REST API, such as ESM or BERT tokenization for sequences, and fine-tune pretrained models to develop powerful classifiers, explainers, and generators with experimental sequences. Key Features and Functionality: - Custom AI Workflows: Tailored solutions for specific tasks, including model fine-tuning, even without pre-existing data. - In-Silico Variant Analysis: Screen millions of variants computationally to identify optimal candidates from vast possibilities. - Integration with Wet-Lab Projects: Seamless incorporation of AI insights into laboratory experiments to enhance research outcomes. - Scalable Protein and DNA Modeling: Support for secure tokenization, regression, classification, de novo generation, and folding of amino acids and DNA sequences. - REST API Access: Easy access to advanced algorithms like ESM or BERT tokenization for sequences, enabling efficient model utilization. - Model Fine-Tuning: Leverage extensive pretrained information to customize models for specific applications, enhancing performance and relevance. Primary Value and Solutions Provided: BioLM accelerates the development and optimization of enzymes and therapeutics by integrating advanced AI capabilities into the biotech and life science sectors. By offering scalable and customizable AI solutions, BioLM addresses challenges in protein and DNA modeling, enabling researchers and developers to efficiently design, analyze, and optimize biological molecules. This integration leads to faster discovery processes, improved candidate selection, and enhanced overall research productivity. **Seller Details:** - **Seller:** [BioLM](https://www.g2.com/sellers/biolm) - **Year Founded:** 2023 - **HQ Location:** Oakland, US - **LinkedIn® Page:** https://www.linkedin.com/company/biolm (4 employees on LinkedIn®) ### 5. [Bizgraph](https://www.g2.com/products/bizgraph/reviews) Agencies that are using bizgraph.app, you can turn one-time AI projects into monthly retainers. Manage multiple clients, apply custom markups, track profits, and automate invoicing through a single API. **Seller Details:** - **Seller:** [Stratagent](https://www.g2.com/sellers/stratagent) - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®) ### 6. [BlacktoothAI](https://www.g2.com/products/blacktoothai/reviews) BlacktoothAI is a comprehensive AI platform that consolidates multiple leading AI models—including ChatGPT, Claude, Gemini, Stable Diffusion, Flux PRO, and ElevenLabs—into a single, user-friendly interface. Designed to enhance productivity and creativity, it enables users to generate text, images, code, and audio seamlessly. By offering a unified subscription model, BlacktoothAI provides significant cost savings compared to individual subscriptions, making advanced AI tools more accessible and affordable. Key Features and Functionality: - Unified AI Access: Integrates top AI models, allowing users to switch between tools like ChatGPT, Claude, Gemini, and Stable Diffusion without multiple subscriptions. - Content Generation: Facilitates the creation of high-quality text, images, and code, catering to diverse content needs. - Custom Templates and Chatbots: Offers a vast library of templates and trained chatbots to streamline content creation and enhance user engagement. - Brand Voice Customization: Ensures consistent messaging across all content with customizable brand voice features. - Multilingual Support: Supports content generation in multiple languages, broadening audience reach. Primary Value and User Solutions: BlacktoothAI addresses the challenge of managing multiple AI tool subscriptions by providing an all-in-one platform that reduces costs and simplifies workflows. Users benefit from a centralized dashboard that enhances efficiency, while features like custom templates and brand voice customization ensure content consistency and quality. This makes BlacktoothAI an ideal solution for content creators, marketers, developers, and businesses seeking to leverage AI technology effectively. **Seller Details:** - **Seller:** [Blacktooth](https://www.g2.com/sellers/blacktooth) - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®) ### 7. [Blaxel](https://www.g2.com/products/blaxel/reviews) Agentic AI infrastructure **Seller Details:** - **Seller:** [Blaxel](https://www.g2.com/sellers/blaxel) - **Year Founded:** 2024 - **HQ Location:** San Francisco, US - **LinkedIn® Page:** https://www.linkedin.com/company/blaxel-ai (6 employees on LinkedIn®) ### 8. [Blueprints by Zeet](https://www.g2.com/products/blueprints-by-zeet/reviews) Blueprints by Zeet are pre-configured templates designed to simplify the deployment of applications and infrastructure across various cloud environments. They enable developers and operations teams to package Infrastructure as Code (IaC) components—such as Terraform Modules, Helm Charts, and Kubernetes Manifests—into reusable templates, facilitating consistent and efficient deployments. Key Features and Functionality: - Pre-Packaged Design Patterns: Blueprints offer ready-to-use templates for common use cases, including self-hosting databases, setting up serverless functions, and provisioning infrastructure. - Custom Blueprint Creation: Teams can create custom Blueprints by integrating their own IaC packages, allowing for tailored input variables and configurations. These custom Blueprints are accessible to all team members, promoting collaboration and standardization. - Multi-Cloud Deployment: Zeet integrates with multiple cloud providers, enabling the deployment of applications and services across different cloud environments without vendor lock-in. - Developer Self-Service: By utilizing Blueprints, developers can deploy compliant applications and services independently, reducing the need for constant DevOps intervention and accelerating the development lifecycle. Primary Value and Problem Solved: Blueprints by Zeet address the complexity and inefficiency often associated with deploying and managing cloud infrastructure. By providing reusable, pre-configured templates, they streamline the deployment process, ensure consistency across environments, and empower developers to manage deployments autonomously. This approach reduces operational overhead, minimizes errors, and accelerates time-to-market for applications and services. **Seller Details:** - **Seller:** [Blueprints by Zeet](https://www.g2.com/sellers/blueprints-by-zeet) - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®) ### 9. [botario](https://www.g2.com/products/botario/reviews) botario is a German software provider specializing in agentic AI solutions such as chatbots and phonebots with seamless human handover. Founded with the mission to make enterprise-grade conversational AI accessible without compromising on data protection, the company has become a trusted partner for organizations across industries, operating under the highest data protection standards. With a scalable platform and a constant eye on the latest AI developments, botario empowers companies to build reliable, intelligent assistants tailored to their needs **Seller Details:** - **Seller:** [botario](https://www.g2.com/sellers/botario) - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®) ### 10. [Brainflow](https://www.g2.com/products/brainflow/reviews) Brainflow is an all-in-one generative AI platform designed to accelerate content creation by leveraging advanced artificial intelligence technologies. It enables users to generate text, images, and interact with documents efficiently, catering to a wide range of tasks including writing, learning, marketing, and coding. **Seller Details:** - **Seller:** [Brainflow](https://www.g2.com/sellers/brainflow) - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®) ### 11. [Brivvy](https://www.g2.com/products/brivvy/reviews) Brivvy is a brand voice infrastructure platform that defines, manages and enforces consistent tone, style and terminology across AI-powered writing tools. It connects to the AI clients teams already use, including Claude, ChatGPT, Cursor, Windsurf and GitHub Copilot, and delivers brand voice rules at the point of generation via the Model Context Protocol (MCP). As teams adopt AI writing assistants, each tool generates content in its own default voice. Style guides sit in static documents. Writers are expected to remember and apply them manually. That breaks down fast. The result is fragmented messaging, different tones across channels, inconsistent terminology and brand dilution that compounds over time. This problem hits solo founders and small startups just as hard. As soon as AI tools enter the workflow for landing pages, support replies, social posts and product copy, inconsistency creeps in. Even a one-person team ends up with mixed signals across channels without a system in place. Brivvy turns brand voice from a reference document into plug-and-play infrastructure. Voice rules are defined once and enforced automatically wherever content is generated. Core capabilities include: - Converts subjective style guidance into structured, machine-readable parameters covering tone, formatting, punctuation, vocabulary and writing conventions. - Connects to AI clients through the Model Context Protocol, delivering brand voice context at the point of generation. - Supports multiple brand voices within a single workspace for different products, audiences or content types. - Provides reusable templates that combine voice rules with format-specific instructions for recurring content types. - Works across major AI writing and coding assistants including Claude, ChatGPT, Cursor, Windsurf and GitHub Copilot. Brivvy is built for solo founders defining a brand voice for the first time, small startups scaling content across a growing team and established organizations managing multiple voices across departments. It fits anywhere AI tools generate customer-facing or internal content, and where consistency matters but manual review does not scale. The platform offers three tiers: Free, Business and Enterprise. MCP server access is available on all plans. Business includes per-seat pricing and advanced voice configuration. Enterprise adds custom integrations and dedicated support. **Seller Details:** - **Seller:** [Brivvy](https://www.g2.com/sellers/brivvy) - **Year Founded:** 2025 - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/brivvy/ (1 employees on LinkedIn®) ### 12. [Bud Runtime](https://www.g2.com/products/bud-runtime/reviews) Bud AI Foundry is an all-in-one control panel for Generative AI deployments, offering enterprises full control over performance, administration, compliance, and security. Powered by unique IPs like heterogeneous hardware parallelism and an environment-agnostic stack, it enables cost-efficient deployments on commodity hardware. **Seller Details:** - **Seller:** [Bud Ecosystem](https://www.g2.com/sellers/bud-ecosystem) - **Year Founded:** 2023 - **HQ Location:** New York, US - **LinkedIn® Page:** https://www.linkedin.com/company/bud-ecosystem/ (15 employees on LinkedIn®) ### 13. [Bueno](https://www.g2.com/products/bueno/reviews) Bueno is a comprehensive no-code platform designed to empower artists and creators in the NFT space. It offers a suite of tools that simplify the entire lifecycle of NFT projects, from art generation to smart contract deployment and community engagement, all without requiring any coding knowledge. Key Features and Functionality: - Generative Art Creation: Easily create generative NFT collections by uploading assets, adjusting layers, setting rules, and previewing outputs within a single tool. - Smart Contract Deployment: Deploy ERC-721A and ERC-1155 smart contracts on Ethereum and Polygon networks without writing code, ensuring full ownership and control over your contracts. - Drops: Transform various forms of art—illustrations, videos, or photos—into limited or open edition NFTs and launch them seamlessly. - Buenoverse: Build interactive 2D worlds and games, collaborate in real-time, and utilize an extensive library of assets or AI-generated content to bring your ideas to life. - Forms: Create customizable forms for allowlists, surveys, email collection, and event registrations, with options to integrate wallet connections and verify user attributes. Primary Value and User Solutions: Bueno addresses the complexities of NFT creation and deployment by providing an intuitive, code-free environment. It eliminates the need for technical expertise, allowing creators to focus on their art and community building. By offering tools for art generation, smart contract management, and interactive world-building, Bueno streamlines the process of launching and managing NFT projects, making the NFT space more accessible and efficient for artists and creators. **Seller Details:** - **Seller:** [Buenoverse](https://www.g2.com/sellers/buenoverse) - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®) ### 14. [Cadence Cerebrus Studio](https://www.g2.com/products/cadence-cerebrus-studio/reviews) The Cadence Cerebrus Studio with Intelligent Chip Explorer revolutionizes chip design with its AI-driven optimization capabilities, enabling engineers to achieve superior power, performance, and area (PPA) while enhancing productivity. This innovative platform automates the entire chip design flow, allowing designers to optimize multiple blocks concurrently, significantly reducing design cycle times. Powered by advanced generative AI and scalable distributed computing, Cerebrus is ideal for complex system-on-chip (SoC) designs. Its intuitive designer cockpit ensures full control with interactive analysis, making it easy to achieve optimized results efficiently. The solution's scalability, compatibility with cloud resources, and ability to reuse optimized models for new projects ensure unmatched engineering efficiency and faster time-to-market. **Seller Details:** - **Seller:** [Cadence Design Systems](https://www.g2.com/sellers/cadence-design-systems) - **Year Founded:** 1988 - **HQ Location:** San Jose, California - **Twitter:** @Cadence (19,988 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/2157/ (10,784 employees on LinkedIn®) - **Ownership:** CDNS ### 15. [Cerebras Systems](https://www.g2.com/products/cerebras-systems/reviews) Cerebras Systems is a pioneering company dedicated to accelerating artificial intelligence (AI) and high-performance computing (HPC) workloads through innovative hardware and software solutions. Their flagship product, the CS-3 system, is powered by the Wafer-Scale Engine-3, the world's largest and fastest AI processor, enabling organizations to train and deploy large-scale AI models with unprecedented speed and efficiency. Cerebras' solutions are designed to simplify the complexities of distributed computing, allowing users to focus on advancing AI research and applications. Key Features and Functionality: - Wafer-Scale Engine-3 (WSE-3): The CS-3 system is built around the WSE-3, featuring 900,000 cores and delivering petaflops of compute power, effectively consolidating an entire HPC cluster into a single device. - On-Chip Memory: With 44GB of on-chip memory, the CS-3 minimizes data movement, reducing latency and power consumption, and enhancing overall performance. - Scalability: The CS-3 system can seamlessly scale from a single unit to a cluster of up to 2,048 systems, enabling the training of models with up to 24 trillion parameters on a single logical device. - Simplified Integration: Designed for rapid deployment, the CS-3 installs in days and integrates with existing infrastructure via standard 100 Gigabit Ethernet links, facilitating easy adoption. - Software Development Kit (SDK): Cerebras provides a general-purpose parallel-computing platform and API, allowing developers to write custom programs (kernels) for their systems, enhancing flexibility and customization. Primary Value and Problem Solved: Cerebras Systems addresses the challenges associated with training large AI models, which traditionally require complex distributed computing setups and significant engineering resources. By offering a purpose-built solution that consolidates the power of an entire HPC cluster into a single device, Cerebras simplifies the training process, reduces time to deployment, and lowers operational costs. This enables organizations to focus on innovation and accelerate the development of cutting-edge AI applications without the overhead of managing intricate computing infrastructures. **Seller Details:** - **Seller:** [Cerebras](https://www.g2.com/sellers/cerebras) - **Year Founded:** 2016 - **HQ Location:** Sunnyvale, California, United States - **LinkedIn® Page:** https://www.linkedin.com/company/cerebras-systems (710 employees on LinkedIn®) ### 16. [Cerebrium](https://www.g2.com/products/cerebrium/reviews) Cerebrium is a platform that allows you to fine-tune and deploy machine learning models to Serverless CPUs/GPUs with 1 second cold-start times. **Seller Details:** - **Seller:** [Crebrium](https://www.g2.com/sellers/crebrium) - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®) ### 17. [Chatgpt Prompt Generator](https://www.g2.com/products/chatgpt-prompt-generator/reviews) GPTPrompts.ai is a free AI prompt generator designed to help users create customized prompts for various AI models, including ChatGPT, Claude, Midjourney, and Gemini. With over 50,000 prompts generated, it offers instant results without the need for login or usage limits. Key Features: - Free AI Tools: Access a suite of AI tools at no cost. - No Login Required: Utilize the platform without creating an account. - Unlimited Usage: Generate as many prompts as needed without restrictions. - Instant Results: Receive prompt outputs immediately. Primary Value: GPTPrompts.ai simplifies the process of crafting effective prompts for AI models, enabling users to maximize the potential of AI applications without technical expertise. By offering a free, user-friendly platform with unlimited access, it addresses the need for efficient and accessible AI prompt generation. **Seller Details:** - **Seller:** [Chatgpt Prompt Generator](https://www.g2.com/sellers/chatgpt-prompt-generator) - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®) ### 18. [cirrascale.com](https://www.g2.com/products/cirrascale-com/reviews) Cirrascale Cloud Services offers specialized cloud solutions tailored for artificial intelligence (AI) and high-performance computing (HPC) workloads. Their AI Innovation Cloud provides access to leading accelerators, including AMD Instinct Series, Cerebras, NVIDIA GPUs, and Qualcomm Cloud AI, enabling efficient development, training, and inference of AI models. Key Features and Functionality: - Multi-Accelerator Support: Access to a variety of AI accelerators, allowing users to select the optimal hardware for their specific workloads. - High-Performance Infrastructure: Dedicated, bare-metal servers equipped with multiple GPUs, ensuring maximum performance without virtualization overhead. - Scalable Storage Solutions: High-throughput, multi-tiered storage systems capable of handling large datasets essential for AI training and inference. - Low-Latency Networking: High-bandwidth, low-latency networks facilitate efficient data transfer and communication between distributed training servers. - Managed Services: Professional support and managed services reduce the need for in-house DevOps, streamlining operations and allowing teams to focus on development. Primary Value and Problem Solved: Cirrascale Cloud Services addresses the challenges of deploying and scaling AI workloads by providing a flexible, high-performance cloud environment. Their solutions eliminate common bottlenecks in AI workflows, such as inadequate compute resources, slow data transfer rates, and complex infrastructure management. By offering tailored multi-GPU server and storage solutions, along with managed services, Cirrascale empowers organizations to accelerate their AI initiatives, reduce time-to-market, and achieve superior performance in their AI applications. **Seller Details:** - **Seller:** [Cirrascale](https://www.g2.com/sellers/cirrascale) - **Year Founded:** 2010 - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/cirrascale (58 employees on LinkedIn®) ### 19. [CISP1](https://www.g2.com/products/cisp1/reviews) CISP1 IA Gêmeo Digital (Omniverse) is an advanced application that leverages artificial intelligence and real-time simulation technologies to create precise virtual replicas of physical environments, known as digital twins. This solution enables businesses to design, simulate, and optimize processes, products, and infrastructures in a digital space before implementing them in the real world, enhancing collaboration and visualization across teams. Key Features and Functionality: - High-Fidelity Digital Modeling: Accurate creation of digital replicas of facilities, machinery, and processes, integrating both historical and real-time data for dynamic modeling. - IoT and Sensor Connectivity: Seamless integration with sensors, IoT devices, and existing systems to provide real-time data inputs. - Real-Time Simulation and Optimization: Ability to simulate operations and workflows in real-time, allowing for the identification and resolution of potential issues before physical implementation. - Collaborative Environment: Facilitates teamwork by providing a shared, immersive digital space for design and decision-making processes. Primary Value and User Solutions: CISP1 IA Gêmeo Digital (Omniverse) addresses the need for efficient and cost-effective project planning and execution. By enabling companies to visualize and test scenarios digitally, it reduces the risks and expenses associated with physical trials. This solution is particularly beneficial for industries with complex manufacturing processes, logistics operations, and critical infrastructure requiring continuous monitoring. It empowers organizations to innovate, cut costs, and enhance decision-making, ultimately improving competitiveness and operational efficiency. **Seller Details:** - **Seller:** [CISP1](https://www.g2.com/sellers/cisp1) - **HQ Location:** São Paulo, BR - **LinkedIn® Page:** https://www.linkedin.com/company/cisp1/ (13 employees on LinkedIn®) ### 20. [Cloaked AI](https://www.g2.com/products/cloaked-ai/reviews) Cloaked AI is an encryption-in-use solution that protects vector embeddings without compromising usability or hampering AI use cases like anomaly detection, biometric identification, semantic search, and so on. Cloaked AI works with all known vector databases, including those from Pinecone, Weaviate, Qdrant, Elastic, and AWS OpenSearch. **Seller Details:** - **Seller:** [IronCore Labs](https://www.g2.com/sellers/ironcore-labs) - **Year Founded:** 2015 - **HQ Location:** Boulder, US - **LinkedIn® Page:** https://www.linkedin.com/company/ironcore-labs (10 employees on LinkedIn®) ### 21. [CloudQuestAI Generative AI Platform](https://www.g2.com/products/cloudquestai-generative-ai-platform/reviews) CloudQuestAI is a secure, enterprise-grade platform that enables teams to deploy mission-ready AI assistants with governed access to data and tools. The platform emphasizes compliance, auditability, and reliable operations in regulated environments. Secure, single-tenant architecture Governed AI workflows Designed for regulated environments **Seller Details:** - **Seller:** [CloudQuest Solutions](https://www.g2.com/sellers/cloudquest-solutions) - **HQ Location:** ASHBURN, US - **LinkedIn® Page:** https://www.linkedin.com/company/cloudquest-solutions-inc/ (1 employees on LinkedIn®) ### 22. [CometAPI](https://www.g2.com/products/cometapi/reviews) CometAPI is a unified AI model API aggregator built for developers and engineering teams who need reliable, cost-efficient access to multiple AI models without the overhead of managing separate integrations. Instead of maintaining separate API keys, billing accounts, and integration code for each AI provider, developers connect to CometAPI once through a single OpenAI-compatible endpoint and gain immediate access to 500+ models. Switching between models requires only a single parameter change — no code rewrite, no additional authentication setup. Supported model categories include large language models (LLMs) for text generation and reasoning, image generation models, video generation models, speech-to-text and text-to-speech models, and embedding models for RAG pipelines. Providers include OpenAI, Anthropic, Google, Midjourney, Suno, Stability AI, Replicate, and many more. Pricing is set at 20% below official provider rates across all supported models. There are no monthly subscription fees, no minimum spend requirements, and account balances never expire. Billing is strictly pay-as-you-go with token-level pricing transparency, making it straightforward to forecast and control AI infrastructure costs. CometAPI is particularly well suited for developers building AI-powered applications, teams running multi-model workflows, and engineers who need to evaluate and compare model performance across providers without committing to a single vendor. The platform includes an interactive Playground for testing models directly, complete API documentation, and an OpenAI-compatible SDK for fast integration. CometAPI also provides a free trial with instant API key generation, allowing developers to start testing immediately without upfront commitment. The platform supports high availability infrastructure with multi-region architecture, ensuring consistent response times across global deployments. For teams managing multiple projects, CometAPI offers centralized usage tracking and billing management, eliminating the complexity of reconciling costs across multiple AI provider accounts. Developers commonly use CometAPI as an alternative to OpenRouter, direct provider APIs, or self-hosted LLM gateways. Common use cases include chatbot development, AI writing assistants, code generation tools, image generation pipelines, voice applications, and retrieval-augmented generation (RAG) systems. CometAPI is compatible with any framework or language that supports REST API calls, including Python, Node.js, and JavaScript, and works seamlessly with popular AI frameworks such as LangChain, LlamaIndex, and LiteLLM. **Seller Details:** - **Seller:** [CometAPI](https://www.g2.com/sellers/cometapi) - **Year Founded:** 2024 - **HQ Location:** HongKong, HK - **LinkedIn® Page:** https://www.linkedin.com/company/cometapi/?originalSubdomain=hk (1 employees on LinkedIn®) ### 23. [Comfyonline](https://www.g2.com/products/comfyonline/reviews) ComfyOnline is a cloud-based platform that enables users to run ComfyUI workflows and deploy APIs with a single click, eliminating the need for expensive hardware and complex setups. By providing an online environment, ComfyOnline simplifies AI application development, allowing users to focus on building innovative workflows without the burden of infrastructure management. Key Features and Functionality: - Hardware-Free Operation: Run ComfyUI workflows without investing in costly GPU devices, as ComfyOnline handles all processing in the cloud. - Simplified Setup: Avoid complex installations and dependency management; ComfyOnline offers a ready-to-use environment for immediate workflow creation. - Pay-As-You-Go Pricing: Only pay for the runtime of your workflows, ensuring cost efficiency by eliminating charges for idle resources. - One-Click API Deployment: Automatically generate APIs from your workflows, facilitating rapid development and deployment of AI applications. - Scalability: ComfyOnline automatically scales to meet demand, handling large volumes effortlessly during traffic surges. - Support for Multiple AI Services: Integrate with advanced video generation services like Kling, Hailuo, Runway, Luma, and Pika; image generation tools such as Recraft and Ideogram; audio support via ElevenLabs; and large language models including Claude, Gemini, GPT, and Deepsek. Primary Value and User Solutions: ComfyOnline addresses the challenges of AI workflow development by providing a cost-effective, user-friendly platform that removes the need for expensive hardware and intricate setups. Users can quickly build, run, and deploy AI applications, focusing on innovation rather than infrastructure. The platform's scalability ensures that applications can handle varying workloads, making it suitable for both individual developers and businesses seeking efficient AI solutions. **Seller Details:** - **Seller:** [ComfyOnline](https://www.g2.com/sellers/comfyonline) - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®) ### 24. [Contextual](https://www.g2.com/products/contextual-contextual/reviews) Contextual empowers developers, system integrators, and businesses to seamlessly integrate AI into their products and operations. Our platform simplifies the design, development, and deployment of AI-enhanced solutions, enabling rapid, scalable, and cost-effective implementation. Key features include a one-click tech stack for immediate setup, AI-driven development to accelerate code generation, and built-in AI data enrichment for handling complex data effortlessly. Our cloud-native SaaS platform ensures scalability without heavy upfront investments, supported by comprehensive integration capabilities and a fully managed infrastructure. Contextual stands out by providing proactive support and continuous learning, ensuring clients always have access to the latest AI advancements and expertise. **Seller Details:** - **Seller:** [Contextual](https://www.g2.com/sellers/contextual-aa0a848c-2217-4f1d-bd31-2c35019b374b) - **Year Founded:** 2023 - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/contextual-io (12 employees on LinkedIn®) ### 25. [Convex](https://www.g2.com/products/ai-town-convex/reviews) Convex is an open-source, reactive backend platform designed to streamline the development of dynamic, real-time applications. By integrating a transactional database, serverless functions, and client libraries, Convex eliminates the complexities of traditional backend infrastructure, enabling developers to focus on building feature-rich applications without managing servers or databases. Key Features and Functionality: - ACID-Compliant Database: Ensures data integrity with full ACID transactions, providing predictable and reliable data operations. - Reactive Data Model: Automatically updates client interfaces in real-time as data changes, enhancing user experience with live data synchronization. - Serverless Functions: Allows developers to write backend logic in TypeScript or JavaScript without managing servers, facilitating rapid development and deployment. - Seamless API Integrations: Easily integrates with external APIs like OpenAI, Twilio, and Stripe through actions and scheduled jobs, expanding application capabilities. - Flexible Data Modeling: Supports both schema-free and schema-defined data structures, accommodating various application requirements. - Automatic Scaling: Dynamically scales resources to handle varying workloads, ensuring consistent performance without manual intervention. Primary Value and Problem Solved: Convex addresses the challenges of building and maintaining complex backend systems by offering a unified platform that combines database management, serverless computing, and real-time data synchronization. This integration reduces development time, minimizes infrastructure overhead, and allows developers to concentrate on delivering high-quality user experiences. By abstracting away the intricacies of backend operations, Convex empowers teams to build scalable and responsive applications efficiently. **Seller Details:** - **Seller:** [AI Town](https://www.g2.com/sellers/ai-town) - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®) ## Parent Category [Generative AI Software](https://www.g2.com/categories/generative-ai) ## Related Categories - [Machine Learning Software](https://www.g2.com/categories/machine-learning) - [Data Science and Machine Learning Platforms](https://www.g2.com/categories/data-science-and-machine-learning-platforms) - [MLOps Platforms](https://www.g2.com/categories/mlops-platforms) - [Large Language Model Operationalization (LLMOps) Software](https://www.g2.com/categories/large-language-model-operationalization-llmops) - [ AI Agent Builders Software](https://www.g2.com/categories/ai-agent-builders) - [AI Orchestration Software](https://www.g2.com/categories/ai-orchestration) - [ Low-Code Machine Learning Platforms Software](https://www.g2.com/categories/low-code-machine-learning-platforms) --- ## Buyer Guide ### What You Should Know About Generative AI Infrastructure Software ### Generative AI Infrastructure software buying insights at a glance [Generative AI Infrastructure](https://www.g2.com/categories/generative-ai-infrastructure) software provides the technical foundation teams need to build, deploy, and scale generative AI models, especially [large language models (LLMs)](https://www.g2.com/categories/large-language-models-llms). In real production environments. Instead of stitching together separate tools for compute, orchestration, model serving, monitoring, and governance, these platforms centralize the core “infrastructure layer” that makes generative AI reliable at scale As more companies move from experimentation to customer-facing AI features, and as performance and cost pressures increase, Generative AI Infrastructure has become essential for engineering, ML, and platform teams that need predictable inference, controlled spend, and operational guardrails without slowing innovation. Based on G2 reviews, buyers most often adopt generative AI infrastructure to shorten time-to-production and address scaling challenges, including GPU resource management, deployment reliability, latency control, and performance monitoring. The strongest review patterns consistently point to a few recurring wins: faster deployment and iteration cycles, smoother scaling under real traffic, and improved visibility into model health and usage. Many teams also emphasize that the infrastructure tools they keep long-term are the ones that make it easier to enforce controls (cost, governance, reliability) without introducing friction for developers and ML teams. Pricing typically follows a usage-driven model tied to infrastructure intensity, often based on compute consumption (GPU hours), inference volume, model hosting, storage, observability features, and enterprise governance controls. Some vendors bundle platform access into tiered subscriptions and layer usage costs on top, while others shift to contracted enterprise pricing once the workload grows and requirements such as SLAs, compliance, private networking, or dedicated support become mandatory. **Top 5 FAQs from software buyers:** - How do generative AI infrastructure platforms manage inference speed and latency? - What’s the best infrastructure stack for deploying LLMs in production? - How do these tools control and forecast GPU costs at scale? - What monitoring and governance features exist for production model operations? - How do teams choose between managed infrastructure vs. self-hosted frameworks? **G2’s top-rated Generative AI Infrastructure software, based on verified reviews, includes** [**Vertex AI**](https://www.g2.com/products/google-vertex-ai/reviews) **,** [**Google Cloud AI Infrastructure**](https://www.g2.com/products/google-cloud-ai-infrastructure/reviews) **,** [**AWS Bedrock**](https://www.g2.com/products/aws-bedrock/reviews) **,** [**IBM watsonx.ai**](https://www.g2.com/products/ibm-watsonx-ai/reviews) **, and** [**Langchain**](https://www.g2.com/products/langchain/reviews) **.** [**(Source 2)**](https://company.g2.com/news/g2-winter-2026-reports) ### What are the top-reviewed Generative AI Infrastructure software on G2? [**Vertex AI**](https://www.g2.com/products/google-vertex-ai/reviews) - Reviews: 184 - Satisfaction: 100 - Market Presence: 99 - G2 Score: 99 [Google Cloud AI Infrastructure](https://www.g2.com/products/google-cloud-ai-infrastructure/reviews)  - Reviews: 36 - Satisfaction: 71 - Market Presence: 75 - G2 Score: 73 [AWS Bedrock](https://www.g2.com/products/aws-bedrock/reviews) - Reviews: 37 - Satisfaction: 63 - Market Presence: 82 - G2 Score: 72 [IBM watsonx.ai](https://www.g2.com/products/ibm-watsonx-ai/reviews) - Reviews: 19 - Satisfaction: 57 - Market Presence: 73 - G2 Score: 65 [Langchain](https://www.g2.com/products/langchain/reviews) - Reviews: 31 - Satisfaction: 75 - Market Presence: 49 - G2 Score: 62 **Satisfaction** reflects user-reported ratings, including ease of use, support, and feature fit. ([Source 2](https://www.g2.com/reports)) **Market Presence** scores combine review and external signals that indicate market momentum and footprint. ([Source 2](https://www.g2.com/reports)) **G2 Score** is a weighted composite of Satisfaction and Market Presence. ([Source 2](https://www.g2.com/reports)) Learn how G2 scores products. ([Source 1](https://documentation.g2.com/docs/research-scoring-methodologies?_gl=1*5vlk6s*_gcl_au*MTAwMzU5MzUxLjE3NjM0MTg0NzYuNjY0NTIxMTY0LjE3NjQ2MTc0NzcuMTc2NDYxNzQ3Nw..*_ga*NzY1MDU0NjE3LjE3NjM0NzQ3ODM.*_ga_MFZ5NDXZ5F*czE3NjYwODk1MTMkbzY3JGcxJHQxNzY2MDkyMjQyJGo1NyRsMCRoMA..)) ### What I Often See in Generative AI Infrastructure Software #### Feedback Pros: What Users Consistently Appreciate - **Unified ml workflow with seamless bigquery and gcs Integration** - “What I like most about Vertex AI is how it unifies the entire machine learning workflow, from data preparation and training to deployment and monitoring. We’ve used it to streamline our ML pipeline, and the integration with BigQuery and Google Cloud Storage makes data handling incredibly efficient. The UI is intuitive, and it’s easy to move between no-code experimentation and full-scale custom model development.”- [Andre P.](https://www.g2.com/products/google-vertex-ai/reviews/vertex-ai-review-11796689) Vertex AI Review - **All-in-one model training, deployment, and monitoring with automation** - “What I like the most is how easy it is to manage the full machine learning workflow in one place. From training to deployment, everything is well integrated with other Google Cloud tools. The interface is simple, and automation features save a lot of time when handling multiple models.”- [Joao S](https://www.g2.com/products/google-vertex-ai/reviews/vertex-ai-review-11799016). Vertex AI Review - **Scales easily for GPU/TPU workloads with enterprise reliability** - “Google Cloud gives powerful tools and machines (like TPUs) to build and run AI faster. It is easy to scale up or down and works well with Google’s other products. It keeps data safe and offers good performance worldwide. Good for mission critical & enterprise workloads. Users generally find Google’s docs, guides, forums, etc., to be thorough, which helps especially for smaller or less urgent issues.”- [Neha J.](https://www.g2.com/products/google-cloud-ai-infrastructure/reviews/google-cloud-ai-infrastructure-review-11803619) Google Cloud AI Infrastructure Review #### Cons: Where Many Platforms Fall Short  - **Advanced setup and MLOps concepts can feel overwhelming at first** - “The learning curve can be steep at the beginning, especially for those new to Google Cloud’s way of organizing resources. Pricing transparency could also improve; costs can ramp up quickly if you don’t set up quotas or monitoring. Some features, like advanced pipeline orchestration or custom training jobs, feel a bit overwhelming without strong documentation or prior ML Ops experience.”- [Rodrigo M.](https://www.g2.com/products/google-vertex-ai/reviews/vertex-ai-review-11702614) Vertex AI Review - **Costs rise quickly without quotas, monitoring, and pricing clarity** - “Bedrock pricing model needs improvement. Few of the models are projected under AWS marketplace pricing. Bedrock is not available in all regions and has to rely on the US region for the same.”- [Saransundar N.](https://www.g2.com/products/aws-bedrock/reviews/aws-bedrock-review-10720033) AWS Bedrock Review - **Requires GenAI knowledge; not ideal for absolute beginners** -  “I'm not sure about it. I think it 'might' be that it is not for absolute beginners. You need to know what Generative AI models are and how they function to be able to get any benefit out of this.”- [Divya K.](https://www.g2.com/products/ibm-watsonx-ai/reviews/ibm-watsonx-ai-review-10303761) IBM watsonx.ai Review ### My expert takeaway on Generative AI Infrastructure tools G2 review patterns point to a category that’s already delivering clear day-to-day value, but maturity in implementation still separates the winners. Across to G2 reviews, the average star rating is 4.54/5, with strong operational sentiment in ease of use (6.35/7) and ease of setup (6.24/7), as well as a high likelihood to recommend (9.08/10) and solid quality of support (6.18/7). Taken together, these metrics suggest most teams can get productive quickly, and many would recommend their infrastructure once it’s embedded into real workflows, strong signals for adoption readiness and trust. High-performing teams treat generative AI infrastructure as a platform layer, not a collection of tools. They define which parts of the AI lifecycle must be standardized (model serving, monitoring, governance, cost controls) and where flexibility must remain (experimentation, fine-tuning pipelines, prompt iteration). Strong implementations operationalize reliability: they monitor latency, throughput, error rates, and drift continuously, and they implement guardrails for cost and access early, before usage explodes. This is where the best generative AI infrastructure truly stands out: it enables teams to scale experiments into production without compromising control over spend, performance, or governance. Where teams struggle most is cost discipline and operational governance. Common failure points include unclear ownership across ML + platform teams, inconsistent deployment patterns, weak usage monitoring, and over-reliance on manual tuning. Teams that win focus on measurable operational signals, including inference latency, GPU utilization efficiency, cost per request, deployment rollback time, monitoring coverage, and incident response speed when models behave unexpectedly. ### Generative AI Infrastructure software FAQs #### What is Generative AI Infrastructure software? Generative AI infrastructure software provides the systems required to build and run generative models in production, covering compute management (often GPUs), model deployment and serving, orchestration, monitoring, and governance. The goal is to make generative AI reliable, scalable, and cost-controlled, so teams can ship AI features without operational instability. #### What is the best Generative AI Infrastructure software? - [Vertex AI](https://www.g2.com/products/google-vertex-ai/reviews)– Industry-leading AI platform for building, deploying, and scaling generative models, with top user satisfaction and advanced integration across Google Cloud. - [Google Cloud AI Infrastructure](https://www.g2.com/products/google-cloud-ai-infrastructure/reviews) – Robust cloud-based AI infrastructure offering scalable resources and flexible tools for diverse machine learning and generative AI workloads. - [AWS Bedrock](https://www.g2.com/products/aws-bedrock/reviews) – Amazon’s generative AI service with modular deployment across AWS, supporting multiple foundation models and seamless integration with AWS tools. - [IBM watsonx.ai](https://www.g2.com/products/ibm-watsonx-ai/reviews) – Enterprise AI platform delivering machine learning and generative AI capabilities, with strong governance and support for regulated environments. - [Langchain](https://www.g2.com/products/langchain/reviews) – Developer framework for building AI-powered applications with language models, enabling rapid prototyping, orchestration, and customization of generative workflows. #### How do teams control GPU costs with generative AI infrastructure? Teams control GPU costs by tracking utilization, limiting inefficient workloads, scheduling batch jobs intelligently, and enforcing usage governance across projects. Strong infrastructure platforms provide visibility into consumption drivers (GPU hours, inference volume, peak usage) and include tools for quotas, rate limits, and cost forecasting to prevent runaway spend. #### What monitoring features matter most for Generative AI Infrastructure? The most valuable monitoring features include latency tracking, throughput, error rates, cost per request, and system-level GPU utilization. Many teams also look for AI-specific monitoring such as drift detection, prompt/response evaluation, version tracking, and the ability to correlate model changes with performance shifts in production. #### How should buyers choose Generative AI Infrastructure tools? Buyers should start with production requirements: which models will be served, expected traffic volume, latency goals, and governance needs. From there, evaluate deployment simplicity, observability depth, scaling reliability, security controls, and cost transparency. The best choice is usually the platform that supports both experimentation and production operations without forcing teams to rebuild workflows later. ### Sources 1. [G2 Scoring Methodologies](https://documentation.g2.com/docs/research-scoring-methodologies?_gl=1*5ky9es*_gcl_au*MTY2NDg2MDY3Ny4xNzU1MDQxMDU4*_ga*MTMwMTMzNzE1MS4xNzQ5MjMyMzg1*_ga_MFZ5NDXZ5F*czE3NTUwOTkzMjgkbzQkZzEkdDE3NTUwOTk3NzYkajU3JGwwJGgw) 2. [G2 Winter 2026 Reports](https://company.g2.com/news/g2-winter-2026-reports) Researched By: [Blue Bowen](https://research.g2.com/insights/author/blue-bowen?_gl=1*18mgp2a*_gcl_au*MTIzNzc1MTQ1My4xNzYxODI2NjQzLjU0Mjk4NTYxMC4xNzY3NzY1MDQ5LjE3Njc3NjUwNDk.*_ga*MTQyMjE4MDg5Ni4xNzYxODI2NjQz*_ga_MFZ5NDXZ5F*czE3Njc5MDA1OTgkbzE5MCRnMSR0MTc2NzkwMjIxOSRqNjAkbDAkaDA.) Last Updated On January 12, 2026