Enterprise AI adoption is still in its exploration stages, but companies are finding innovative ways to leverage their GPU investments beyond AI applications and reaping good results, according to a new report from Hammerspace, the company orchestrating the next data cycle.
Hammerspace Advances GPU Data Orchestration Capabilities to Accelerate Access to S3 Data
Hammerspace, the company orchestrating the next data cycle, today announced the addition of the S3 interface to its Global Data Platform, advancing the orchestration of existing data sets to available compute resources. With today’s announcement, Hammerspace continues to offer organizations new, advantageous ways to manage and leverage data. By adding S3 to all other standard protocols for data ingestion, the Hammerspace platform ensures a seamless and efficient transfer of existing data into a global file system fueled by its automated orchestration system.
Hammerspace Unveils the Fastest File System in the World for Training Enterprise AI Models at Scale
Hammerspace, the company orchestrating the Next Data Cycle, unveiled the high-performance NAS architecture needed to address the requirements of broad-based enterprise AI, machine learning and deep learning (AI/ML/DL) initiatives and the widespread rise of GPU computing both on-premises and in the cloud. This new category of storage architecture – Hyperscale NAS – is built on the tenants required for large language model (LLM) training and provides the speed to efficiently power GPU clusters of any size for GenAI, rendering and enterprise high-performance computing.