Hammerspace Introduces an All-New Storage Architecture | Read the Press Release

Accelerate Your AI Workflows with Hammerspace

Discover how to accelerate your AI and deep learning (AI/DL) workloads with the power of Parallel NFS v4.2. This document provides an in-depth technology overview and guides you through adapting legacy infrastructure to support GPU-based AI/DL tasks efficiently.

Key Highlights:

  • Transform existing data centers into high-performance parallel file systems without expensive new storage silos.
  • Learn about the significant improvements of pNFS v4.2 over legacy versions, including enhanced metadata handling and intelligent client caching.
  • Understand how pNFS v4.2 eliminates traditional I/O bottlenecks and supports extreme scalability, as demonstrated by Meta’s AI Research SuperCluster.
  • Explore the features of Hammerspace’s Global Data Platform, which leverages pNFS v4.2 for automated data orchestration and high-performance data access across silos, sites, and clouds.
Instant Access
Unstructured Data Orchestration For Dummies eBook Cover

Instant Access
Unstructured Data Orchestration For Dummies eBook Cover

Discover how to accelerate your AI and deep learning (AI/DL) workloads with the power of Parallel NFS v4.2. This document provides an in-depth technology overview and guides you through adapting legacy infrastructure to support GPU-based AI/DL tasks efficiently.

Key Highlights:

  • Transform existing data centers into high-performance parallel file systems without expensive new storage silos.
  • Learn about the significant improvements of pNFS v4.2 over legacy versions, including enhanced metadata handling and intelligent client caching.
  • Understand how pNFS v4.2 eliminates traditional I/O bottlenecks and supports extreme scalability, as demonstrated by Meta’s AI Research SuperCluster.
  • Explore the features of Hammerspace’s Global Data Platform, which leverages pNFS v4.2 for automated data orchestration and high-performance data access across silos, sites, and clouds.