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Achieve RTX-accelerated performance on any device, anywhere, with NVIDIA RTX™ Server, a highly flexible reference design that combines high-end NVIDIA® Quadro RTX™ 6000 and 8000 GPUs with NVIDIA virtual GPU (vGPU) software to deliver exceptional compute power. With a range of validated solutions, from virtualization to collaborative design with NVIDIA Omniverse™, RTX Server enables every professional to do their best work wherever they are—at a fraction of the cost, space, and power of CPU-based solutions.
NVIDIA Nemotron is a family of open-source, multimodal AI models designed to empower developers and enterprises in building advanced agentic AI systems. These models excel in tasks such as complex reasoning, coding, visual understanding, and information retrieval, making them versatile tools for a wide range of applications. Key Features and Functionality: - Open Models: NVIDIA provides transparent and adaptable models, allowing developers to customize and deploy AI solutions with confidence. - High Compute Efficiency: The Nemotron family is optimized for computational efficiency, utilizing NVIDIA TensorRT-LLM to deliver higher throughput and on-demand reasoning capabilities. - High Accuracy: Post-trained with high-quality datasets, Nemotron models achieve top accuracy on leading benchmarks, ensuring reliable performance across various tasks. - Secure and Simple Deployment: Available as optimized NVIDIA NIM microservices, these models offer peak inference performance with flexible deployment options, ensuring superior security, privacy, and portability. Primary Value and Solutions: NVIDIA Nemotron addresses the growing need for transparent, efficient, and high-performing AI models in the development of agentic AI systems. By offering open models with high accuracy and compute efficiency, Nemotron enables developers and enterprises to create trustworthy AI agents capable of complex reasoning and decision-making. This empowers organizations to innovate and deploy AI solutions across various industries, enhancing productivity and driving business transformation.
Enter a new frontier in professional graphics with unprecedented performance and scalability with 48 GB of high-speed GDDR6 memory and NVIDIA NVLink™. Designers and artists across industries can now expand the boundary of what’s possible, working with the largest and most complex ray tracing, deep learning, and visual computing workloads.
Data is fundamentally changing the way companies do business, driving demand for data scientists and increasing the complexity in their workflows. Get the performance you need to transform massive amounts of data into insights and create amazing customer experiences with NVIDIA-powered data science workstations. Built by leading workstation providers to combine the power of Quadro RTX GPUs with accelerated CUDA-X AI data science software to deliver a new breed of fully-integrated desktop and mobile workstations for data science.
NVIDIA Optimized Deep Learning Framework, powered by Apache MXNet is a deep learning framework that allows you to mix the flavors of symbolic programming and imperative programming to maximize efficiency and productivity.
Clara Train SDK is a domain optimized developer application framework that includes APIs for AI-Assisted Annotation, making any medical viewer AI capable and a TensorFlow based training framework with pre-trained models to kick start AI development with techniques like Transfer Learning, Federated Learning, and AutoML.
DeepStream SDK delivers a complete streaming analytics toolkit for AI based video and image understanding and multi-sensor processing. DeepStream SDK features hardware-accelerated building blocks, called plugins that bring deep neural networks and other complex processing tasks into a stream processing pipeline.
The Domain Specific - NeMo Automatic Speech Recognition (ASR) Application facilitates training, evaluation and performance comparison of ASR models. This NeMo application enables you to train or fine-tune pre-trained ASR models with your own data.
This NeMo application trains text classification models using single-GPU or multi-GPU. We log performance metrics and visualize them with TensorBoard. We show how to do inference with NeMo, and we visualize BERT embeddings before and after fine-tuning.
NVIDIA Reviews
Little_Legit J.
Data Analyst Intern | Ex Front-End Developer (Main Flow Services & Technologies) | BCA’26 @ Christ University | Skilled in Python, SQL, Power BI & ExcelRAPIDS Supercharges Data Processing with GPU Performance
Nishant Pratap S.
Operations Analyst at RigiNVIDIA-Grade GPU Clusters on Demand with DGX Cloud
Verified User in Business Supplies and Equipment
Accurate, Low-Latency Speech AI with On-Prem Privacy and Enterprise-Ready Scale
About
What is NVIDIA?
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.
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