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What is AWS Parallel Computing Service?

The AWS Parallel Computing Service (AWS PCS) is a highly efficient managed service tailored for the execution and scaling of high-performance computing tasks, while also supporting the development of scientific and engineering models through the use of Slurm on the AWS platform. This service empowers users to set up completely elastic environments that integrate computing, storage, networking, and visualization tools, thereby freeing them from the burdens of infrastructure management and allowing them to concentrate on research and innovation. Additionally, AWS PCS features managed updates and built-in observability, which significantly enhance the operational efficiency of cluster maintenance and management. Users can easily build and deploy scalable, reliable, and secure HPC clusters through various interfaces, including the AWS Management Console, AWS Command Line Interface (AWS CLI), or AWS SDK. This service supports a diverse array of applications, ranging from tightly coupled workloads, such as computer-aided engineering, to high-throughput computing tasks like genomics analysis and accelerated computing using GPUs and specialized silicon, including AWS Trainium and AWS Inferentia. Moreover, organizations leveraging AWS PCS can ensure they remain competitive and innovative, harnessing cutting-edge advancements in high-performance computing to drive their research forward. By utilizing such a comprehensive service, users can optimize their computational capabilities and enhance their overall productivity in scientific exploration.

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 Trainium
Amazon Web Services (AWS)
AWS Command Line Interface (CLI)
AWS Deep Learning AMIs
AWS Deep Learning Containers
AWS HPC
AWS Inferentia
AWS ParallelCluster
Amazon EC2 Capacity Blocks for ML
Amazon EC2 G5 Instances
Amazon EC2 Inf1 Instances
Amazon EC2 P4 Instances
Amazon EC2 P5 Instances
Amazon EC2 Trn1 Instances
Amazon EC2 Trn2 Instances
Amazon EKS
Amazon EKS Anywhere
Amazon Elastic Container Service (Amazon ECS)
Amazon SageMaker
Slurm

Integrations Supported

AWS Trainium
Amazon Web Services (AWS)
AWS Command Line Interface (CLI)
AWS Deep Learning AMIs
AWS Deep Learning Containers
AWS HPC
AWS Inferentia
AWS ParallelCluster
Amazon EC2 Capacity Blocks for ML
Amazon EC2 G5 Instances
Amazon EC2 Inf1 Instances
Amazon EC2 P4 Instances
Amazon EC2 P5 Instances
Amazon EC2 Trn1 Instances
Amazon EC2 Trn2 Instances
Amazon EKS
Amazon EKS Anywhere
Amazon Elastic Container Service (Amazon ECS)
Amazon SageMaker
Slurm

API Availability

Has API

API Availability

Has API

Pricing Information

$0.5977 per hour
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

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/pcs/

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

HPC

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

Popular Alternatives

AWS HPC Reviews & Ratings

AWS HPC

Amazon

Popular Alternatives

Slurm Reviews & Ratings

Slurm

IBM