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About

Amazon Elastic Inference allows you to attach low-cost GPU-powered acceleration to Amazon EC2 and Sagemaker instances or Amazon ECS tasks, to reduce the cost of running deep learning inference by up to 75%. Amazon Elastic Inference supports TensorFlow, Apache MXNet, PyTorch and ONNX models. Inference is the process of making predictions using a trained model. In deep learning applications, inference accounts for up to 90% of total operational costs for two reasons. Firstly, standalone GPU instances are typically designed for model training - not for inference. While training jobs batch process hundreds of data samples in parallel, inference jobs usually process a single input in real time, and thus consume a small amount of GPU compute. This makes standalone GPU inference cost-inefficient. On the other hand, standalone CPU instances are not specialized for matrix operations, and thus are often too slow for deep learning inference.

About

ExecuTorch is PyTorch’s open source framework for deploying AI/ML models directly to edge devices, enabling text, vision, speech, recommendation, and multimodal inference without requiring the cloud. It exports models from PyTorch without intermediate conversion formats, preserves ATen operators, and uses ahead-of-time compilation to optimize performance for target hardware before deployment. Its modular design lets developers choose compile-time and runtime optimizations while staying inside the familiar PyTorch ecosystem, including torchao for quantization. A portable C++ runtime with a base footprint of about 50 KB can run on smartphones, desktops, embedded systems, microcontrollers, DSPs, and Cortex-M processors. ExecuTorch supports Android, iOS, Linux, Windows, macOS, and WebAssembly, with native APIs for C++, Swift, Kotlin, and Objective-C.

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 Supported
iPhone Supported
iPad Supported
Android Supported
Chromebook Not Supported

Audience

IT teams that need an advanced Infrastructure as a Service solution

Audience

AI developers and engineering teams that need to deploy optimized PyTorch models for on-device inference across smartphones, embedded systems, and microcontrollers

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

Screenshots and Videos

Pricing

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

Pricing

Free
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/elastic-inference/

Company Information

ExecuTorch
United States
executorch.ai/

Alternatives

Alternatives

AWS Neuron

AWS Neuron

Amazon Web Services
LiteRT

LiteRT

Google
AWS Neuron

AWS Neuron

Amazon Web Services

Categories

Categories

AI Inference Supported

Integrations

PyTorch Supported
Amazon EC2 Supported
Amazon EC2 G4 Instances Supported
Amazon Web Services (AWS) Supported
C++ Not Supported
Facebook Not Supported
Instagram Not Supported
Kotlin Not Supported
LLaVA Not Supported
Llama 3.2 Not Supported
MXNet Supported
Muse Glimmer Not Supported
Objective-C Not Supported
OpenAI Whisper Not Supported
Phi-4-mini-reasoning Not Supported
Qwen3 Not Supported
Swift Not Supported
TensorFlow Supported
Voxtral Not Supported
WhatsApp Not Supported

Integrations

PyTorch Supported
Amazon EC2 Not Supported
Amazon EC2 G4 Instances Not Supported
Amazon Web Services (AWS) Not Supported
C++ Supported
Facebook Supported
Instagram Supported
Kotlin Supported
LLaVA Supported
Llama 3.2 Supported
MXNet Not Supported
Muse Glimmer Supported
Objective-C Supported
OpenAI Whisper Supported
Phi-4-mini-reasoning Supported
Qwen3 Supported
Swift Supported
TensorFlow Not Supported
Voxtral Supported
WhatsApp Supported
Claim Amazon Elastic Inference and update features and information
Claim Amazon Elastic Inference and update features and information
Claim ExecuTorch and update features and information
Claim ExecuTorch and update features and information