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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

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 Vexata VX‑100F harnesses the power of NVMe over fabrics (NVMe-oF) to achieve exceptional economic efficiency and transformative performance. By eliminating unnecessary latency associated with the storage controller, the Vexata architecture ensures consistently high performance at scale, significantly enhancing application response times. This performance is particularly crucial for real-time analytics, which demands substantial data ingestion and processing capabilities; the Vexata Accelerated Data Architecture meets these needs by providing increased throughput and quicker response times. Furthermore, Vexata breaks through the conventional cost/performance limitations with a scalable solid-state storage solution designed to boost both application and analytics ecosystems. Additionally, VX-Cloud stands out as the first and only software-defined platform that caters to every stage of Machine Learning, ensuring optimal performance and scalability for cognitive and AI workloads, all while maintaining cloud-scale economics. With these innovations, Vexata is setting a new standard in the data storage landscape.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Automai Robotic Process Automation Yes 
Check Point IPS Yes 
Check Point Infinity Yes 
SQLXPress Yes 
XYGATE Identity Connector Yes 
XYGATE SecurityOne Yes 

Integrations

Automai Robotic Process Automation No 
Check Point IPS No 
Check Point Infinity No 
SQLXPress No 
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) Yes 
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 No 
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

Vexata

Country

United States

Website

www.vexata.com/product/

Product Features

Data Fabric

Data Access Management No 
Data Analytics No 
Data Collaboration No 
Data Lineage Tools No 
Data Networking / Connecting No 
Metadata Functionality No 
No Data Redundancy No 
Persistent Data Management No 

Alternatives

Alternatives

Lustre Reviews

Lustre

OpenSFS and EOFS