Published: 14 February 2024
To support GenAI applications, an enterprise’s underlying storage infrastructure requires certain advanced capabilities. This research helps infrastructure and operations leaders understand those capabilities and choose the right type of storage deployment for their GenAI use case.
Most enterprises will not have to build new storage infrastructure for generative artificial intelligence (GenAI), because they will fine-tune existing large language models (LLMs), instead of training new models.
Large-scale GenAI deployments will require distinct storage performance and data management capabilities for the data ingestion, training, inference and archiving stages of the GenAI workflow.
Acquire a “GenAI in a box” converged storage solution when bringing data directly to an off-the-shelf LLM or when piloting a GenAI deployment.
Use existing enterprise storage platforms — storage area network (SAN), network-attached storage (NAS), object storage or hyperconverged infrastructure (HCI) — when training with small
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