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

November 12-17, 2023

SC23, or Supercomputing 2023, is the leading international conference for high-performance computing, networking, storage, and analysis. It serves as a dynamic hub, bringing together researchers, scientists, developers, and practitioners from across the globe to discuss and explore the latest advancements and innovations in the field of supercomputing. The conference is renowned for fostering global collaborations and presenting cutting-edge research, innovative technologies, and forward-thinking approaches to computational science.

Hammerspace Booth: Booth: 2137

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.