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About

GPUs bring data in and out quickly, but have little locality of reference because of their small caches. They are geared towards applying a lot of compute to little data, not little compute to a lot of data. The networks designed to run on them therefore execute full layer after full layer in order to saturate their computational pipeline (see Figure 1 below). In order to deal with large models, given their small memory size (tens of gigabytes), GPUs are grouped together and models are distributed across them, creating a complex and painful software stack, complicated by the need to deal with many levels of communication and synchronization among separate machines. CPUs, on the other hand, have large, much faster caches than GPUs, and have an abundance of memory (terabytes). A typical CPU server can have memory equivalent to tens or even hundreds of GPUs. CPUs are perfect for a brain-like ML world in which parts of an extremely large network are executed piecemeal, as needed.

About

Transition seamlessly between eager and graph modes with TorchScript, and accelerate the path to production with TorchServe. Scalable distributed training and performance optimization in research and production is enabled by the torch-distributed backend. A rich ecosystem of tools and libraries extends PyTorch and supports development in computer vision, NLP and more. PyTorch is well supported on major cloud platforms, providing frictionless development and easy scaling. Select your preferences and run the install command. Stable represents the most currently tested and supported version of PyTorch. This should be suitable for many users. Preview is available if you want the latest, not fully tested and supported, 1.10 builds that are generated nightly. Please ensure that you have met the prerequisites (e.g., numpy), depending on your package manager. Anaconda is our recommended package manager since it installs all dependencies.

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 Not Supported
On-Premises Not Supported
iPhone Supported
iPad Supported
Android Supported
Chromebook Not Supported

Audience

Companies doing AI and ML development

Audience

Researchers in need of an open source machine learning solution to accelerate research prototyping and production deployment

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 Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Not 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 Supported
Live Online Not Supported
In Person Not Supported

Company Information

Neural Magic
Founded: 2018
United States
neuralmagic.com

Company Information

PyTorch
Founded: 2016
pytorch.org

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Categories

Deep Learning Supported
Machine Learning Supported
Neural Network Supported

Categories

AI Development Supported
Machine Learning Supported
Neural Network Supported

Integrations

Amazon EC2 G5 Instances Not Supported
Amazon SageMaker Unified Studio Not Supported
Amazon Web Services (AWS) Not Supported
DeepSpeed Not Supported
Domino Enterprise AI Platform Not Supported
Exafunction Not Supported
Flyte Not Supported
GLM-5.2 Not Supported
Gemma 3n Not Supported
HunyuanWorld Not Supported
Runpod Not Supported
Simplismart Not Supported
Skyportal Not Supported
TensorWave Not Supported
TrueFoundry Not Supported
Unify AI Not Supported
vLLM Not Supported
zymtrace Not Supported

Integrations

Amazon EC2 G5 Instances Supported
Amazon SageMaker Unified Studio Supported
Amazon Web Services (AWS) Supported
DeepSpeed Supported
Domino Enterprise AI Platform Supported
Exafunction Supported
Flyte Supported
GLM-5.2 Supported
Gemma 3n Supported
HunyuanWorld Supported
Runpod Supported
Simplismart Supported
Skyportal Supported
TensorWave Supported
TrueFoundry Supported
Unify AI Supported
vLLM Supported
zymtrace Supported
Claim Neural Magic and update features and information
Claim Neural Magic and update features and information
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Claim PyTorch and update features and information