Introducing New Hyperscale NAS Category to Remove Storage Bottlenecks and Provide the High-Performance Data Pipeline Needed for GPU Computing [SPONSORED GUEST ARTICLE] Hammerspace, the company ...

While there are a lot of different file system and object storage options available for HPC and AI customers, many AI ...

TAIPEI, April 9, 2025 /PRNewswire/ -- Infortrend® Technology, Inc. (TWSE: 2495), the industry-leading enterprise storage provider, today announced the launch of the groundbreaking EonStor GSx parallel ...

Quantum Corporation introduces a new highly parallel file system client for its Myriad all-flash file system, enhancing support for AI, ML, and HPC applications.

The HPE Cray Storage Systems C500 is tuned to avoid I/O bottlenecks and offers a lower entry price than Cray systems designed for top supercomputers. Hewlett Packard Enterprise has launched the HPE ...

As business users increasingly turn to high-performance hardware, IBM is adding features to its high-performance file systems to help push supercomputing more into the mainstream. IBM on Friday plans ...

Hammerspace’s Hyperscale NAS technology sits on an industry-standard server between a customer’s GPU-based front-end servers and whatever storage they use from hard drive to NVMe flash as a way to ...

DeepSeek has released the Fire-Flyer File System (3FS), an open source project that is a parallel file system that improves the efficiency of AI training and inference performance. DeepSeek brings ...

SAN MATEO, Calif., October 10, 2024--(BUSINESS WIRE)--Hammerspace, the company orchestrating the next data cycle, and Parallel Works, provider of the ACTIVATE control plane for AI and HPC resources, ...

Fastest 10-node production result in IO500 history achieved using standard Linux, NFSv4.2 and off-the-shelf NVMe Supercomputing 2025 — Hammerspace, the high-performance data platform for AI Anywhere, ...

Data is by its nature a messy beast, and it has only become more so as workloads have found their way out of the datacenter and into the cloud and even all the way out to the edge. This is the problem ...