Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
The convergence of high-performance computing (HPC) and machine learning is placing unprecedented requirements on storage solutions, as the input/output demands of these two distinct workloads diverge significantly. This shift is occurring at this very moment, with a recent analysis from the independent firm Intersect360 revealing that a striking 63% of current HPC users are actively implementing machine learning applications. Furthermore, Hyperion Research projects that, if trends continue, public sector organizations and enterprises will see HPC storage expenditures increase at a rate 57% faster than HPC compute investments over the next three years. Reflecting on this, Seymour Cray famously stated, "Anyone can build a fast CPU; the trick is to build a fast system." In the realm of HPC and AI, while creating fast file storage may seem straightforward, the true challenge lies in developing a storage system that is not only quick but also economically viable and capable of scaling effectively. We accomplish this by integrating top-tier parallel file systems into HPE's parallel storage solutions, ensuring that cost efficiency is a fundamental aspect of our approach. This strategy not only meets the current demands of users but also positions us well for future growth.
Description
The IBM Elastic Storage System (ESS) represents an advanced approach to software-defined storage, streamlining the deployment of fast and scalable storage solutions tailored for AI and big data applications. Utilizing cutting-edge NVMe storage technology that boasts low latency and impressive performance, alongside the expansive 8YB global file system and comprehensive data services offered by IBM Spectrum Scale, both the ESS 3200 and ESS 5000 nodes are capable of expanding to YB configurations within a unified global storage system that spans from edge to core data centers and extends to the public cloud. By integrating storage needs and removing silos across various platforms, such as Kubernetes and Red Hat OpenShift, IBM ESS not only enhances efficiency but also lowers acquisition costs and simplifies the management of storage resources. This system is designed to support a variety of demanding workloads, ensuring that your organization maintains high performance across all operations. Furthermore, the flexibility and scalability of the IBM ESS make it an ideal choice for businesses looking to adapt to evolving data storage requirements.
API Access
Has API
No
API Access
Has API
No
Integrations
Automai Robotic Process Automation
Yes
Check Point IPS
Yes
Check Point Infinity
Yes
IBM Cloud
No
Kubernetes
No
Red Hat OpenShift
No
SQLXPress
Yes
Stor2RRD
No
XYGATE Identity Connector
Yes
XYGATE SecurityOne
Yes
Integrations
Automai Robotic Process Automation
No
Check Point IPS
No
Check Point Infinity
No
IBM Cloud
Yes
Kubernetes
Yes
Red Hat OpenShift
Yes
SQLXPress
No
Stor2RRD
Yes
XYGATE Identity Connector
No
XYGATE SecurityOne
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
Yes
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)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Hewlett Packard
Founded
2015
Country
United States
Website
www.hpe.com/us/en/solutions/hpc-high-performance-computing/storage.html
Vendor Details
Company Name
IBM
Founded
1911
Country
United States
Website
www.ibm.com/products/elastic-storage-system