AWS Deep Learning AMIs vs. tensorViz Comparison


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About AWS Deep Learning AMIs (DLAMI) provides ML practitioners and researchers with a curated and secure set of frameworks, dependencies, and tools to accelerate deep learning in the cloud. Built for Amazon Linux and Ubuntu, Amazon Machine Images (AMIs) come preconfigured with TensorFlow, PyTorch, Apache MXNet, Chainer, Microsoft Cognitive Toolkit (CNTK), Gluon, Horovod, and Keras, allowing you to quickly deploy and run these frameworks and tools at scale. Develop advanced ML models at scale to develop autonomous vehicle (AV) technology safely by validating models with millions of supported virtual tests. Accelerate the installation and configuration of AWS instances, and speed up experimentation and evaluation with up-to-date frameworks and libraries, including Hugging Face Transformers. Use advanced analytics, ML, and deep learning capabilities to identify trends and make predictions from raw, disparate health data.	About tensorViz helps developers explore PyTorch models and JAX/Flax programs as interactive graphs. For PyTorch, users can expand nested modules, inspect tensor shapes captured from one forward pass, jump to Python source, and review architecture changes beside code diffs. The website offers recorded model graphs to explore without installation. The free VS Code extension is available from the Visual Studio Marketplace and Open VSX. Local capture requires Python, model dependencies, and example inputs. Standalone coding-agent plugins are an Apple Silicon macOS preview; MCP agents can also connect to the extension. JAX/Flax graphs use CPU tracing with inferred shapes, and PyTorch source edits are unavailable for them.
Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Supported Mac Supported Linux Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Deep Learning solution that helps developers quickly build scalable, secure deep learning applications	Audience Machine learning engineers, PyTorch developers, researchers and students exploring model architecture, tensor shapes and architecture changes.
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported
API Offers API Not Supported	API Offers API Supported
Screenshots and Videos View more images or videos	Screenshots and Videos No images available
Pricing No information available. Free Version Not Supported Free Trial Not Supported	Pricing $0 The VS Code extension is free to install. Core graph exploration and source-edit forms work without an agent or provider API key; connecting a coding agent is optional. Free Version Supported Free Trial Not Supported
Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software

Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported	Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Company Information Amazon Founded: 2006 United States aws.amazon.com/machine-learning/amis/	Company Information tensorViz tensorviz.dev/
Alternatives AWS Neuron Amazon Web Services	Alternatives AWS Neuron Amazon Web Services
Horovod	TorchMetrics
Google Cloud Deep Learning VM Image Google	PyTorch
Fabric for Deep Learning (FfDL) IBM	Google Cloud Deep Learning VM Image Google
GPUonCLOUD View All	Amazon EC2 Trn1 Instances Amazon View All
Categories AI Infrastructure Supported AI/ML Model Training Supported Deep Learning Supported	Categories Deep Learning Supported Machine Learning Supported

Integrations AWS Marketplace Supported AWS Neuron Supported Amazon EC2 G5 Instances Supported Amazon EC2 Inf1 Instances Supported Amazon EC2 P4 Instances Supported Amazon EC2 Trn1 Instances Supported Amazon EC2 Trn2 Instances Supported Amazon Web Services (AWS) Supported Claude Code Not Supported Codex CLI Not Supported Cursor Not Supported GitHub Not Supported Model Context Protocol (MCP) Not Supported PuppyGraph Supported T3 Code Not Supported Visual Studio Code Not Supported Show More Integrations View All 9 Integrations	Integrations AWS Marketplace Not Supported AWS Neuron Not Supported Amazon EC2 G5 Instances Not Supported Amazon EC2 Inf1 Instances Not Supported Amazon EC2 P4 Instances Not Supported Amazon EC2 Trn1 Instances Not Supported Amazon EC2 Trn2 Instances Not Supported Amazon Web Services (AWS) Not Supported Claude Code Supported Codex CLI Supported Cursor Supported GitHub Supported Model Context Protocol (MCP) Supported PuppyGraph Not Supported T3 Code Supported Visual Studio Code Supported Show More Integrations View All 7 Integrations
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