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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
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

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
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

Free
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

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

Integrations

PyTorch
Amazon EC2
Amazon EC2 G4 Instances
Amazon Web Services (AWS)
C++
Facebook
Instagram
Kotlin
LLaVA
Llama 3.2
MXNet
Muse Glimmer
Objective-C
OpenAI Whisper
Phi-4-mini-reasoning
Qwen3
Swift
TensorFlow
Voxtral
WhatsApp

Integrations

PyTorch
Amazon EC2
Amazon EC2 G4 Instances
Amazon Web Services (AWS)
C++
Facebook
Instagram
Kotlin
LLaVA
Llama 3.2
MXNet
Muse Glimmer
Objective-C
OpenAI Whisper
Phi-4-mini-reasoning
Qwen3
Swift
TensorFlow
Voxtral
WhatsApp
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