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What is Amazon EC2 P4 Instances?

Amazon's EC2 P4d instances are designed to deliver outstanding performance for machine learning training and high-performance computing applications within the cloud. Featuring NVIDIA A100 Tensor Core GPUs, these instances are capable of achieving impressive throughput while offering low-latency networking that supports a remarkable 400 Gbps instance networking speed. P4d instances serve as a budget-friendly option, allowing businesses to realize savings of up to 60% during the training of machine learning models and providing an average performance boost of 2.5 times for deep learning tasks when compared to previous P3 and P3dn versions. They are often utilized in large configurations known as Amazon EC2 UltraClusters, which effectively combine high-performance computing, networking, and storage capabilities. This architecture enables users to scale their operations from just a few to thousands of NVIDIA A100 GPUs, tailored to their particular project needs. A diverse group of users, such as researchers, data scientists, and software developers, can take advantage of P4d instances for a variety of machine learning tasks including natural language processing, object detection and classification, as well as recommendation systems. Additionally, these instances are well-suited for high-performance computing endeavors like drug discovery and intricate data analyses. The blend of remarkable performance and the ability to scale effectively makes P4d instances an exceptional option for addressing a wide range of computational challenges, ensuring that users can meet their evolving needs efficiently.

What is AWS ParallelCluster?

AWS ParallelCluster is a free and open-source utility that simplifies the management of clusters, facilitating the setup and supervision of High-Performance Computing (HPC) clusters within the AWS ecosystem. This tool automates the installation of essential elements such as compute nodes, shared filesystems, and job schedulers, while supporting a variety of instance types and job submission queues. Users can interact with ParallelCluster through several interfaces, including a graphical user interface, command-line interface, or API, enabling flexible configuration and administration of clusters. Moreover, it integrates effortlessly with job schedulers like AWS Batch and Slurm, allowing for a smooth transition of existing HPC workloads to the cloud with minimal adjustments required. Since there are no additional costs for the tool itself, users are charged solely for the AWS resources consumed by their applications. AWS ParallelCluster not only allows users to model, provision, and dynamically manage the resources needed for their applications using a simple text file, but it also enhances automation and security. This adaptability streamlines operations and improves resource allocation, making it an essential tool for researchers and organizations aiming to utilize cloud computing for their HPC requirements. Furthermore, the ease of use and powerful features make AWS ParallelCluster an attractive option for those looking to optimize their high-performance computing workflows.

Media

Media

Integrations Supported

AWS Batch
Amazon Web Services (AWS)
AWS Deep Learning Containers
AWS HPC
AWS Lambda
AWS Neuron
AWS Nitro System
AWS Parallel Computing Service
AWS Trainium
Amazon API Gateway
Amazon EC2 Capacity Blocks for ML
Amazon EC2 G5 Instances
Amazon EC2 Trn2 Instances
Amazon EKS
Amazon SageMaker
GitHub
MXNet
PyTorch
Python
Slurm

Integrations Supported

AWS Batch
Amazon Web Services (AWS)
AWS Deep Learning Containers
AWS HPC
AWS Lambda
AWS Neuron
AWS Nitro System
AWS Parallel Computing Service
AWS Trainium
Amazon API Gateway
Amazon EC2 Capacity Blocks for ML
Amazon EC2 G5 Instances
Amazon EC2 Trn2 Instances
Amazon EKS
Amazon SageMaker
GitHub
MXNet
PyTorch
Python
Slurm

API Availability

Has API

API Availability

Has API

Pricing Information

$11.57 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/ec2/instance-types/p4/

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/hpc/parallelcluster/

Categories and Features

Deep Learning

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

HPC

Categories and Features

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