+
+

Related Products

  • Gemini Enterprise Agent Platform
    962 Ratings
    Visit Website
  • Fraud.net
    56 Ratings
    Visit Website
  • Qloo
    23 Ratings
    Visit Website
  • RaimaDB
    12 Ratings
    Visit Website
  • Google Compute Engine
    1,168 Ratings
    Visit Website
  • Dragonfly
    16 Ratings
    Visit Website
  • Bitdefender Ultimate Small Business Security
    3 Ratings
    Visit Website
  • ManageEngine OpManager
    1,685 Ratings
    Visit Website
  • Teradata VantageCloud
    1,107 Ratings
    Visit Website
  • Intulse
    140 Ratings
    Visit Website

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
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

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
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

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
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Neural Magic
Founded: 2018
United States
neuralmagic.com

Company Information

PyTorch
Founded: 2016
pytorch.org

Alternatives

Sharky Neural Network

Sharky Neural Network

SharkTime Software

Alternatives

Core ML

Core ML

Apple
Create ML

Create ML

Apple
Neural Designer

Neural Designer

Artelnics
DeepSpeed

DeepSpeed

Microsoft
AWS Neuron

AWS Neuron

Amazon Web Services

Categories

Categories

Integrations

3LC
Amazon SageMaker Model Training
Amazon SageMaker Unified Studio
Bayesforge
Cerebrium
CodeQwen
Coiled
Deep Lake
EasyODM
Exafunction
Google AI Edge
Intel Tiber AI Cloud
Label Studio
PostgresML
Ray
SiMa
Skyportal
Vectice
Voxel51

Integrations

3LC
Amazon SageMaker Model Training
Amazon SageMaker Unified Studio
Bayesforge
Cerebrium
CodeQwen
Coiled
Deep Lake
EasyODM
Exafunction
Google AI Edge
Intel Tiber AI Cloud
Label Studio
PostgresML
Ray
SiMa
Skyportal
Vectice
Voxel51
Claim Neural Magic and update features and information
Claim Neural Magic and update features and information
Claim PyTorch and update features and information
Claim PyTorch and update features and information