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features
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support

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Description

AWS Parallel Computing Service (AWS PCS) is a fully managed service designed to facilitate the execution and scaling of high-performance computing tasks while also aiding in the development of scientific and engineering models using Slurm on AWS. This service allows users to create comprehensive and adaptable environments that seamlessly combine computing, storage, networking, and visualization tools, enabling them to concentrate on their research and innovative projects without the hassle of managing the underlying infrastructure. With features like automated updates and integrated observability, AWS PCS significantly improves the operations and upkeep of computing clusters. Users can easily construct and launch scalable, dependable, and secure HPC clusters via the AWS Management Console, AWS Command Line Interface (AWS CLI), or AWS SDK. The versatility of the service supports a wide range of applications, including tightly coupled workloads such as computer-aided engineering, high-throughput computing for tasks like genomics analysis, GPU-accelerated computing, and specialized silicon solutions like AWS Trainium and AWS Inferentia. Overall, AWS PCS empowers researchers and engineers to harness advanced computing capabilities without needing to worry about the complexities of infrastructure setup and maintenance.

Description

Amazon EC2 P4d instances are designed for optimal performance in machine learning training and high-performance computing (HPC) applications within the cloud environment. Equipped with NVIDIA A100 Tensor Core GPUs, these instances provide exceptional throughput and low-latency networking capabilities, boasting 400 Gbps instance networking. P4d instances are remarkably cost-effective, offering up to a 60% reduction in expenses for training machine learning models, while also delivering an impressive 2.5 times better performance for deep learning tasks compared to the older P3 and P3dn models. They are deployed within expansive clusters known as Amazon EC2 UltraClusters, which allow for the seamless integration of high-performance computing, networking, and storage resources. This flexibility enables users to scale their operations from a handful to thousands of NVIDIA A100 GPUs depending on their specific project requirements. Researchers, data scientists, and developers can leverage P4d instances to train machine learning models for diverse applications, including natural language processing, object detection and classification, and recommendation systems, in addition to executing HPC tasks such as pharmaceutical discovery and other complex computations. These capabilities collectively empower teams to innovate and accelerate their projects with greater efficiency and effectiveness.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

AWS Trainium
Amazon Web Services (AWS)
AWS Batch
AWS Deep Learning AMIs
AWS Deep Learning Containers
AWS HPC
AWS Inferentia
AWS Nitro System
AWS ParallelCluster
Amazon EC2
Amazon EC2 G5 Instances
Amazon EC2 P5 Instances
Amazon EC2 Trn2 Instances
Amazon EKS
Amazon Elastic Container Service (Amazon ECS)
Amazon SageMaker
MXNet
PyTorch
Slurm
TensorFlow

Integrations

AWS Trainium
Amazon Web Services (AWS)
AWS Batch
AWS Deep Learning AMIs
AWS Deep Learning Containers
AWS HPC
AWS Inferentia
AWS Nitro System
AWS ParallelCluster
Amazon EC2
Amazon EC2 G5 Instances
Amazon EC2 P5 Instances
Amazon EC2 Trn2 Instances
Amazon EKS
Amazon Elastic Container Service (Amazon ECS)
Amazon SageMaker
MXNet
PyTorch
Slurm
TensorFlow

Pricing Details

$0.5977 per hour
Free Trial
Free Version

Pricing Details

$11.57 per hour
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/pcs/

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/ec2/instance-types/p4/

Product Features

HPC

Product Features

Deep Learning

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

HPC

Alternatives

Alternatives

AWS HPC Reviews

AWS HPC

Amazon
Slurm Reviews

Slurm

IBM