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What is JAX?

JAX is a Python library specifically designed for high-performance numerical computations and machine learning research. It offers a user-friendly interface similar to NumPy, making the transition easy for those familiar with NumPy. Some of its key features include automatic differentiation, just-in-time compilation, vectorization, and parallelization, all optimized for running on CPUs, GPUs, and TPUs. These capabilities are crafted to enhance the efficiency of complex mathematical operations and large-scale machine learning models. Furthermore, JAX integrates smoothly with various tools within its ecosystem, such as Flax for constructing neural networks and Optax for managing optimization tasks. Users benefit from comprehensive documentation that includes tutorials and guides, enabling them to fully exploit JAX's potential. This extensive array of learning materials guarantees that both novice and experienced users can significantly boost their productivity while utilizing this robust library. In essence, JAX stands out as a powerful choice for anyone engaged in computationally intensive tasks.

What is AWS Neuron?

The system facilitates high-performance training on Amazon Elastic Compute Cloud (Amazon EC2) Trn1 instances, which utilize AWS Trainium technology. For model deployment, it provides efficient and low-latency inference on Amazon EC2 Inf1 instances that leverage AWS Inferentia, as well as Inf2 instances which are based on AWS Inferentia2. Through the Neuron software development kit, users can effectively use well-known machine learning frameworks such as TensorFlow and PyTorch, which allows them to optimally train and deploy their machine learning models on EC2 instances without the need for extensive code alterations or reliance on specific vendor solutions. The AWS Neuron SDK, tailored for both Inferentia and Trainium accelerators, integrates seamlessly with PyTorch and TensorFlow, enabling users to preserve their existing workflows with minimal changes. Moreover, for collaborative model training, the Neuron SDK is compatible with libraries like Megatron-LM and PyTorch Fully Sharded Data Parallel (FSDP), which boosts its adaptability and efficiency across various machine learning projects. This extensive support framework simplifies the management of machine learning tasks for developers, allowing for a more streamlined and productive development process overall.

Media

Media

Integrations Supported

AWS Deep Learning AMIs
AWS Deep Learning Containers
AWS Trainium
Amazon EC2 Capacity Blocks for ML
Amazon EC2 Inf1 Instances
Amazon EC2 Trn1 Instances
Amazon EC2 Trn2 Instances
Amazon EKS
Amazon EKS Anywhere
Amazon Elastic Container Service (Amazon ECS)
Amazon Web Services (AWS)
Equinox
Flower
Gemma 3n
Grain
Hugging Face
IREN Cloud
LiteRT
NumPy
Python

Integrations Supported

AWS Deep Learning AMIs
AWS Deep Learning Containers
AWS Trainium
Amazon EC2 Capacity Blocks for ML
Amazon EC2 Inf1 Instances
Amazon EC2 Trn1 Instances
Amazon EC2 Trn2 Instances
Amazon EKS
Amazon EKS Anywhere
Amazon Elastic Container Service (Amazon ECS)
Amazon Web Services (AWS)
Equinox
Flower
Gemma 3n
Grain
Hugging Face
IREN Cloud
LiteRT
NumPy
Python

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

JAX

Company Location

United States

Company Website

docs.jax.dev/en/latest/

Company Facts

Organization Name

Amazon Web Services

Date Founded

2006

Company Location

United States

Company Website

aws.amazon.com/machine-learning/neuron/

Categories and Features

Categories and Features

Deep Learning

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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