Hammerspace Unveils Reference Architecture for Large Language Model Training
Hammerspace, the company orchestrating the Next Data Cycle, today released the data architecture being used for training inference for Large Language Models (LLMs) within hyperscale environments. This architecture is the only solution in the world that enables artificial intelligence (AI) technologists to design a unified data architecture that delivers the performance of a super computing-class parallel file system coupled with the ease of application and research access to standard NFS.
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Image 1: Hyperscale LLM Training Architecture with Hammerspace (Graphic: Business Wire)
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. The magnitude of these requirements is particularly critical in the development of LLMs, which often necessitate utilizing hundreds of billions of parameters, tens of thousands of GPUs, and hundreds of petabytes of diverse types of unstructured data.
Hammerspace's announcement unveils the proven architecture uniquely delivering the performance, ease of deployment, and standards-based software and hardware support required to meet the unique requirements of LLM data pipelines and data storage.
"The most powerful AI initiatives will incorporate data from everywhere," said David Flynn, Hammerspace Founder and CEO. "A high-performance data environment is critical to the success of initial AI model training. But even more important, it provides the ability to orchestrate the data from multiple sources for continuous learning. Hammerspace has set the gold standard for AI architectures at scale."
Hammerspace is the data orchestration system that unlocks innovation and opportunity within unstructured data. It orchestrates and provides the high-performance data needed to build new products, uncover new insights, and accelerate time to revenue across industries like AI, scientific discovery, machine learning, extended reality, autonomy, corporate video and more. Hammerspace delivers the world's first and only solution to connect global users with their data and applications on any vendor's data center storage or public cloud services, including AWS, Google Cloud, Microsoft Azure and Seagate Lyve Cloud.
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