Massive Storage Systems and Technology Conference

May 22-24, 2023

Standards-Based Parallel Global File Systems and Automated Data Orchestration with NFS 

Monday, May 22, 3:00-4:30

Presenters
David Flynn, Hammerspace founder and CEO
Trond Mykelbust, Linux NFS Kernel Maintainer, Hammerspace CTO
Douglas Fallstrom, Hammerspace SVP of Product

Join this BoF to discuss:

  1. How to unify data created in different clusters and locations into a single namespace, and place locally to applications and compute for processing and AI
  2. Latest technologies available to deliver parallel file system performance from data sets stored in a hybrid cloud environment
  3. The latest in standards-based technologies available for data orchestration and storage at mass scale

This BoF will provide attendees with a deep dive into the latest advancements of this high-performance, standards-based file system, in order to illustrate how to create automated and non-disruptive data orchestration policies to meet business objectives. The session  will include a demonstration of a global workflow leveraging datasets that span multiple different storage types all running as a unified data environment.

May 22-24, 2023

Santa Clara University

500 El Camino Real, Santa Clara, CA

Hammerspace Solution: No Compromises

Hammerspace software is designed from the ground up to scale up and out to accommodate even extreme workload requirements, enabling customers to parallelize performance across any vendor storage, network, or cloud resource they prefer. 

At the core is its high-performance Parallel Global File System that can span on-premises and cloud instances to provide a cross-platform global namespace to all users everywhere. It is built with a scale-out architecture that can saturate any network, storage type or interconnect.

With Hammerspace, all users in all locations see the same file system metadata, even for environments spanning multiple on-prem and cloud-based storage and compute environments. And with metadata-driven objective-based policies, data management is automated behind the scenes across silos and locations without interrupting users or applications. Most importantly, it can now keep up with your high-performance workloads.

Hammerspace is designed to help research organizations and other HPC environments create, process, and manage even extreme volumes of HPC data, and to enable collaboration across a decentralized environment.

Hammerspace is a software-defined solution that can run on bare-metal, VMs and in the cloud. Hammerspace clusters can scale out to accommodate extreme performance within the datacenter as well as to span as many as 16 locations concurrently, including on-prem and multiple cloud instances.