Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Persistence container technology facilitates efficient operations with a lightweight approach, allowing users to pay for usage by the second instead of waiting for hours or months. The payment process, which will occur via credit card, is set for the following month. This technology offers high performance at a competitive price compared to alternative solutions. Furthermore, it is set to be deployed in the fastest supercomputer globally at Oak Ridge National Laboratory. Various machine learning applications, including deep learning, computational fluid dynamics, video encoding, 3D graphics workstations, 3D rendering, visual effects, computational finance, seismic analysis, molecular modeling, and genomics, will benefit from this technology, along with other GPU workloads in server environments. The versatility of these applications demonstrates the broad impact of persistence container technology across different scientific and computational fields.
Description
The HPE Cray exascale supercomputers represent a groundbreaking design, developed from scratch to efficiently manage the extensive demands of modern converged modeling, simulation, artificial intelligence, and analytics tasks. This marks the dawn of a new chapter in supercomputing technology. The innovations in HPE Cray supercomputers stand as one of the most pivotal advancements in technology we have seen in recent decades. With these machines, we are enabling transformative capabilities for the complex questions of our time. HPE Cray supercomputers embody the future of computing, designed to support the evolving landscape of science, discovery, and achievement. Rethought and meticulously engineered, this solution responds to the diverse requirements of today's digital age. Through a combination of advanced hardware and software innovations, we are addressing the complexities that arise from increasing core counts, the diversification of compute node architectures, and the necessity for scalable AI workflows, paving the way for unprecedented progress in various fields. The ability to tackle such challenges is what truly sets these supercomputers apart.
API Access
Has API
No
API Access
Has API
No
Integrations
Keras
No
PyTorch
No
TensorFlow
No
Pricing Details
$0.0992 per hour
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
GPUEater
Country
United States
Website
gpueater.com
Vendor Details
Company Name
Hewlett Packard
Founded
2015
Country
United States
Website
www.hpe.com/us/en/compute/hpc/supercomputing/cray-exascale-supercomputer.html