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About

AWS Parallel Computing Service (AWS PCS) is a managed service that simplifies running and scaling high-performance computing workloads and building scientific and engineering models on AWS using Slurm. It enables the creation of complete, elastic environments that integrate computing, storage, networking, and visualization tools, allowing users to focus on research and innovation without the burden of infrastructure management. AWS PCS offers managed updates and built-in observability features, enhancing cluster operations and maintenance. Users can build and deploy scalable, reliable, and secure HPC clusters through the AWS Management Console, AWS Command Line Interface (AWS CLI), or AWS SDK. The service supports various use cases, including tightly coupled workloads like computer-aided engineering, high-throughput computing such as genomics analysis, accelerated computing with GPUs, and custom silicon like AWS Trainium and AWS Inferentia.

About

Speed up compute jobs like machine learning and HPC. A wide selection of GPUs to match a range of performance and price points. Flexible pricing and machine customizations to optimize your workload. High-performance GPUs on Google Cloud for machine learning, scientific computing, and 3D visualization. NVIDIA K80, P100, P4, T4, V100, and A100 GPUs provide a range of compute options to cover your workload for each cost and performance need. Optimally balance the processor, memory, high-performance disk, and up to 8 GPUs per instance for your individual workload. All with the per-second billing, so you only pay only for what you need while you are using it. Run GPU workloads on Google Cloud Platform where you have access to industry-leading storage, networking, and data analytics technologies. Compute Engine provides GPUs that you can add to your virtual machine instances. Learn what you can do with GPUs and what types of GPU hardware are available.

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

Companies and teams requiring a solution to run HPC workloads at virtually any scale

Audience

Anyone seeking a solution offering high-performance GPUs for machine learning, scientific computing, and 3D visualization

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

$0.5977 per hour
Free Version
Free Trial

Pricing

$0.160 per GPU
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: 1994
United States
aws.amazon.com/pcs/

Company Information

Google
Founded: 1998
United States
cloud.google.com/gpu

Alternatives

Alternatives

AWS HPC

AWS HPC

Amazon
TrinityX

TrinityX

Cluster Vision

Categories

HPC

Categories

Integrations

AWS Command Line Interface (CLI)
AWS HPC
AWS Inferentia
AWS ParallelCluster
AWS Trainium
Amazon Web Services (AWS)
Google Cloud Dataproc
Google Cloud Platform
Google Compute Engine
Google Kubernetes Engine (GKE)
NVIDIA DRIVE
Slurm

Integrations

AWS Command Line Interface (CLI)
AWS HPC
AWS Inferentia
AWS ParallelCluster
AWS Trainium
Amazon Web Services (AWS)
Google Cloud Dataproc
Google Cloud Platform
Google Compute Engine
Google Kubernetes Engine (GKE)
NVIDIA DRIVE
Slurm
Claim AWS Parallel Computing Service and update features and information
Claim AWS Parallel Computing Service and update features and information
Claim Google Cloud GPUs and update features and information
Claim Google Cloud GPUs and update features and information