AI infrastructure is shifting from peak compute optimization to sustained efficiency. For the past several years, industry attention has centered on the AI training arms race, measured by GPU counts, parameter scale, and escalating compute budgets. This phase isn’t over, but it no longer defines where enterprise value is created.
Value is increasingly realized at inference, where models are deployed, queried, and embedded into operational systems. Inference economics are fundamentally different from those of training: They are persistent rather than bursty, distributed rather than centralized, and tightly bound to enterprise data.
As retrieval-augmented generation (RAG), fine-tuning, and model distillation become foundational techniques, storage moves from being a supporting layer to a design variable. Embeddings, checkpoints, duplicated datasets, and governance artifacts expand storage footprints in cumulative ways that training-centric architectures didn’t anticipate. In this environment, storage density becomes less a specification and more a determinant of long-term infrastructure cost and optimization.
This paper explores why density is emerging as a first-order variable in AI infrastructure design and how Solidigm’s approach to high-capacity SSDs positions it within that shift.
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Matt Kimball is a Moor Insights & Strategy senior datacenter analyst covering servers and storage. Matt’s 25 plus years of real-world experience in high tech spans from hardware to software as a product manager, product marketer, engineer and enterprise IT practitioner. This experience has led to a firm conviction that the success of an offering lies, of course, in a profitable, unique and targeted offering, but most importantly in the ability to position and communicate it effectively to the target audience.
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Patrick Moorhead is the founder, CEO, and chief analyst of Moor Insights & Strategy. His big-picture view of technology is grounded in more than 20 years as an executive leading strategy, product management, product marketing, and corporate marketing functions at NCR, AT&T, Compaq, and AMD. He has shared his expertise in areas from silicon to infrastructure to enterprise SaaS and everything in-between in thousands of national broadcast appearances (CNBC, Yahoo Finance), articles (Forbes, CIO), research-based analyses, and podcast episodes. Today, he has 100+ CXO-level advisory clients and is often ranked the #1 technology industry analyst by ARInsights.
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