Top Rated IBM Spectrum Conductor Deep Learning Impact (DLI) Alternatives
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4.3 out of 5
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Chandrashekhar K.
Data Scientist
Enterprise(> 1000 emp.)
What do you like best about IBM Spectrum Conductor Deep Learning Impact (DLI)?
1) Powerful for various Deep Learning (especially different neural networks)
2) Great for the cost
3) Good amount of resources offered Review collected by and hosted on G2.com.
What do you dislike about IBM Spectrum Conductor Deep Learning Impact (DLI)?
1) Difficult to learn
2) Does not have a huge community following Review collected by and hosted on G2.com.
3 out of 4 Total Reviews for IBM Spectrum Conductor Deep Learning Impact (DLI)
4.5 out of 5
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LP
Latika P.
Senior Business Analyst - Digital & Cloud Solutions
Enterprise(> 1000 emp.)
What do you like best about IBM Spectrum Conductor Deep Learning Impact (DLI)?
IBM Spectrum Conductor Deep Learning Impact 1.2.3 includes features like elastic distributed training, inference, data preparation, deep learning insights, adding framework plugins, model training and validation, and hyperparameter tuning. IBM Spectrum Conductor Deep Learning Impact supports frameworks like TensorFlow and Caffe on x86 and leverages IBM PowerAI on IBM Power Systems. Review collected by and hosted on G2.com.
What do you dislike about IBM Spectrum Conductor Deep Learning Impact (DLI)?
Nothing as such.. Little bit complex for end user for the very first time Review collected by and hosted on G2.com.
SH
Sachin H.
Research Fellow
Small-Business(50 or fewer emp.)
Business partner of the seller or seller's competitor, not included in G2 scores.
What do you like best about IBM Spectrum Conductor Deep Learning Impact (DLI)?
Model management, parameters management, Review collected by and hosted on G2.com.
What do you dislike about IBM Spectrum Conductor Deep Learning Impact (DLI)?
Weights visibility and cost of computing Review collected by and hosted on G2.com.
UF
Verified User in Financial Services
Mid-Market(51-1000 emp.)
What do you like best about IBM Spectrum Conductor Deep Learning Impact (DLI)?
Application delivery and delivery intelligence Review collected by and hosted on G2.com.
What do you dislike about IBM Spectrum Conductor Deep Learning Impact (DLI)?
Needs to more supporting languages in place Review collected by and hosted on G2.com.
There are not enough reviews of IBM Spectrum Conductor Deep Learning Impact (DLI) for G2 to provide buying insight. Below are some alternatives with more reviews:
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Snowflake
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Vertex AI
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Vertex AI is a managed machine learning (ML) platform that helps you build, train, and deploy ML models faster and easier. It includes a unified UI for the entire ML workflow, as well as a variety of tools and services to help you with every step of the process. Vertex AI Workbench is a cloud-based IDE that is included with Vertex AI. It makes it easy to develop and debug ML code. It provides a variety of features to help you with your ML workflow, such as code completion, linting, and debugging.
Vertex AI and Vertex AI Workbench are a powerful combination that can help you accelerate your ML development. With Vertex AI, you can focus on building and training your models, while Vertex AI Workbench takes care of the rest. This frees you up to be more productive and creative, and it helps you get your models into production faster.
If you're looking for a powerful and easy-to-use ML platform, then Vertex AI is a great option. With Vertex AI, you can build, train, and deploy ML models faster and easier than ever before.
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SAS Viya
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As a cloud-native AI, analytics and data management platform, SAS Viya enables you to scale cost-effectively, increase productivity and innovate faster, backed by trust and transparency. SAS Viya makes it possible to integrate teams and technology enabling all users to work together successfully to turn critical questions into accurate decisions.
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SuperAnnotate is the leading platform for building, fine-tuning, iterating, and managing your AI models faster with the highest-quality training data.
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Statsig
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Statsig is a complete platform for experimentation, feature flagging, product analytics, session replays, and more, trusted by more than 3,000 companies around the world - including OpenAI, Notion, Figma, Atlassian, and Brex. All of Statsig's products are powered by a single of data and infrastructure, and can be run in your data warehouse. Statsig can help you... - Iterate Faster: Turn ideas into tests or scale your current experimentation program with the world’s most powerful experimentation infrastructure & stats engine. - Ship Smarter: Speed up releases without increasing risk. Link every release to product data for automated alerts and guardrails, then give your whole team the power to ship and watch the magic happen. - Learn more from your data: Empower every stakeholder on your team — from Product to Engineering to Data —with unified analytics, backed by one set of data and a full set of product analytics tools. The Statsig team has worked helped build data-driven cultures at some largest enterprises in the world - and we're here to help you, wherever you are on your journey. And no matter how big (or small) you are, our tools will scale to meet your needs and help you cut spend. Are you ready to start your data-driven journey?
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JFrog
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The JFrog Platform is an end-to-end, hybrid, and universal binary-centric solution that continuously manages and secures your entire software supply chain from source to edge. We empower developers to be more efficient using JFrog’s services, Artifactory, Xray, Distribution, Pipelines, and Connect on a single unified platform. The JFrog Platform is an enterprise-grade solution that handles the scale of the largest development organizations in the world. The JFrog family of products includes:
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