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Average Ratings 0 Ratings
Description
AWS High Performance Computing (HPC) services enable users to run extensive simulations and deep learning tasks in the cloud, offering nearly limitless computing power, advanced file systems, and high-speed networking capabilities. This comprehensive set of services fosters innovation by providing a diverse array of cloud-based resources, such as machine learning and analytics tools, which facilitate swift design and evaluation of new products. Users can achieve peak operational efficiency thanks to the on-demand nature of these computing resources, allowing them to concentrate on intricate problem-solving without the limitations of conventional infrastructure. AWS HPC offerings feature the Elastic Fabric Adapter (EFA) for optimized low-latency and high-bandwidth networking, AWS Batch for efficient scaling of computing tasks, AWS ParallelCluster for easy cluster setup, and Amazon FSx for delivering high-performance file systems. Collectively, these services create a flexible and scalable ecosystem that is well-suited for a variety of HPC workloads, empowering organizations to push the boundaries of what’s possible in their respective fields. As a result, users can experience greatly enhanced performance and productivity in their computational endeavors.
Description
Charg is a platform for managing the lifecycle of AI infrastructure, converting established enterprise-grade supercomputing systems into adaptable cloud environments for AI and high-performance computing. The public HPC cloud offered by Charg allows access to resources ranging from a single GPU to an extensive 60+ PFLOPS cluster, enabling teams to harness supercomputing capabilities without the need to own or maintain the physical hardware. It utilizes advanced CRAY supercomputers and the robust NVIDIA DGX architecture, which integrates clustered NVIDIA V100 GPUs with 200 GbE InfiniBand networking and extensive all-flash CEPH storage, ensuring low-latency and high-throughput performance. Charg is specifically designed to handle intensive AI tasks, scientific research, and engineering computations, facilitating activities such as model training, large-scale inference, simulations, intricate data analysis, finite element analysis, and computational fluid dynamics. With an API-driven infrastructure, Charg not only scales seamlessly with existing workflows but also offers on-demand capacity, free from operational limitations, making it an ideal choice for diverse computational needs. This flexibility ensures that organizations can dynamically adjust their resources to meet changing demands without any hassle.
API Access
Has API
API Access
Has API
Integrations
AWS Batch
AWS Elastic Fabric Adapter (EFA)
AWS Marketplace
AWS Nitro System
AWS Parallel Computing Service
AWS ParallelCluster
Amazon DCV
Amazon EC2
Amazon FSx
Amazon FSx for Lustre
Integrations
AWS Batch
AWS Elastic Fabric Adapter (EFA)
AWS Marketplace
AWS Nitro System
AWS Parallel Computing Service
AWS ParallelCluster
Amazon DCV
Amazon EC2
Amazon FSx
Amazon FSx for Lustre
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$0.99 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/hpc/
Vendor Details
Company Name
Charg
Country
United States
Website
charg.cloud/