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

AI Data Pipeline Architectures

Hammerspace Field CTO Office Hours Webinar

For AI strategies to succeed, organizations need the ability to scale to a massive number of GPUs, as well as the flexibility to access local and distributed data silos. Additionally, they need the ability to leverage data regardless of the hardware or cloud infrastructure on which it currently resides, as well as the security controls to uphold data governance policies.

Hammerspace works with some of the largest and highest performance AI environments in the world to deliver the performance, ease of deployment, and standards-based software and hardware support required to meet the unique requirements of LLM and GenAI data pipelines.

Join this Office Hours for a live conversation on any AI related topic of your choice. We will also plan to cover:

  • AI data pipeline architecture best practices
  • How to move data to compute effectively
  • How to overcome data silos
  • How to leverage existing infrastructure investment in new AI initiatives

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.