Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Characterized by the exponential increase in data, integrated workloads, and ongoing digital transformation, the exascale era signifies a transformative phase of exploration that requires enhanced capabilities. To accommodate a spectrum of processor technologies and data-heavy tasks, new infrastructure is essential for seamlessly integrating analytics, AI, and high-performance computing (HPC), thereby unlocking the full potential of your data and fostering innovation. With HPE Apollo systems, you can tackle your most challenging problems while gaining cost-effective access to supercomputing power. These systems, designed for rack-scale efficiency, offer an ideal combination of performance and flexibility, making them specifically optimized for both HPC and AI applications. As you navigate your growth trajectory, HPE Apollo solutions allow you to adjust to diverse workloads seamlessly. The HPE Apollo 2000 Gen10 Plus system stands out by offering a space-efficient solution that accommodates up to four hot-plug servers within a 2U chassis, providing the versatility to customize the system to meet the specific demands of your rigorous HPC tasks while ensuring scalability for future needs. In this way, organizations can stay ahead in the rapidly evolving landscape of technology and data.
Description
High-performance tasks associated with data-heavy AI, IoT, and HPC workloads have traditionally relied on costly, top-tier processors or accelerators like Graphics Processing Units (GPUs) to function optimally. Additionally, organizations utilizing cloud-based platforms for demanding computational tasks frequently encounter trade-offs that can be less than ideal. For instance, the outdated nature of processors and hardware in cloud infrastructures often fails to align with the latest software applications, while also raising concerns over excessive energy consumption and environmental implications. Furthermore, users often find certain features of cloud services to be cumbersome and challenging, which hampers their ability to create tailored cloud solutions that meet specific business requirements. This difficulty in achieving a perfect balance can lead to complications in identifying appropriate billing structures and obtaining adequate support for their unique needs. Ultimately, these issues highlight the pressing need for more adaptable and efficient cloud solutions in today's technology landscape.
API Access
Has API
No
API Access
Has API
No
Integrations
CapametriX
No
Qualcomm Cloud AI SDK
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
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
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
HPE
Country
United States
Website
www.hpe.com/us/en/compute/hpc/apollo-systems.html
Vendor Details
Company Name
ScaleMatrix
Founded
2011
Country
United States
Website
www.scalematrix.com/scalecloud
Product Features
Product Features
Cloud Management
Access Control
No
Billing & Provisioning
No
Capacity Analytics
No
Cost Management
No
Demand Monitoring
No
Multi-Cloud Management
No
Performance Analytics
No
SLA Management
No
Supply Monitoring
No
Workflow Approval
No