Santa Clara, CA., August 4, 2025 – SNIA, a not-for-profit group for applied sciences associated to dealing with and optimizing information, at present introduced Storage.AI, an open requirements undertaking designed for environment friendly information companies associated to AI workloads. Storage.AI will give attention to industry-standard, non-proprietary, and impartial approaches to fixing AI-related information issues to optimize the efficiency, effectivity, and cost-effectiveness of AI workloads.
Preliminary {industry} leaders who’ve signed on to Storage.AI embrace AMD, Cisco, DDN, Dell, IBM, Intel, KIOXIA, Microchip, Micron, NetApp, Pure Storage, Samsung, Seagate, Solidigm, and WEKA. Along with SNIA’s substantial membership, the undertaking will work to construct broad ecosystem assist with SNIA’s companions, together with UEC, NVM Categorical, OCP, OFA, DMTF, SPEC, and others.
AI workloads are terribly advanced and constrained by points associated to latency, house, energy and cooling, reminiscence, and price. Addressing these issues by an open {industry} initiative is the quickest path to optimization and adoption. SNIA’s 25+ yr monitor report of growing {industry} requirements, along with its technical accomplishments to speed up, retailer, unify, and optimize the compute, motion, and efficiency of knowledge, makes it uniquely positioned to steer the SNIA Storage.AI information undertaking.
“The unprecedented calls for of AI require a holistic view of the information pipeline, from storage and reminiscence to networking and processing,” mentioned Dr. J Metz, SNIA Chair. “No single firm can resolve these challenges alone. SNIA’s Storage.AI gives the important, vendor-neutral framework for the {industry} to coordinate a variety of knowledge companies, constructing the environment friendly, non-proprietary options wanted to speed up AI for everybody.”
The Storage.AI undertaking will create an open ecosystem for environment friendly information companies to deal with essentially the most tough challenges associated to AI workloads, closing present gaps in processing and accessing information. The founding members share widespread objectives. For extra data, go to snia.ai.
“The enterprise applied sciences powering at present’s most demanding AI workloads are solely as efficient as the information they will entry,” mentioned Robert Hormuth, company vice chairman, Knowledge Middle Options Group, AMD. “As a member of Storage.AI, we’re excited to collaborate with different leaders to provide the {industry} a impartial, open path to repair information bottlenecks and unlock true AI efficiency.”
“Storage networking has lengthy been a foundational pillar of our clients’ digital infrastructure. As AI continues to develop throughout the enterprise, integrating sturdy storage options with AI workloads has turn out to be more and more vital. In at present’s AI-driven panorama, information units our clients aside, and the efficiency and reliability of that information are important to realizing the total advantages of AI.” Jeremy Foster, SVP and GM, Cisco Compute.
“As AI continues to reshape each {industry}, the demand for open, scalable, and clever information infrastructure has by no means been larger,” mentioned Santosh Erram, VP of Public Cloud Alliances at DDN. “At DDN, we’re proud to assist SNIA’s Storage.AI initiative—an vital step towards fostering collaboration, driving interoperability, and setting open requirements that allow the AI ecosystem to thrive. By working collectively, we will unlock sooner innovation and extra significant outcomes for purchasers and companions throughout the AI panorama.”
“To totally understand the potential of AI, enterprises should remodel uncooked information into structured, ruled information. Storage and Knowledge Engines play a pivotal function on this journey—powering information pipelines from coaching and steady studying to agentic outcomes. These engines should evolve quickly, embracing innovation throughout flash media, drives, networking, compute and foundational software program. Dell Applied sciences is proud to collaborate with SNIA to advance the applied sciences and requirements that make this transformation potential,” mentioned Rajesh Rajaraman, CTO and VP Dell Storage, Knowledge and Cyber Resilience.
“Efficient information administration is key to the efficiency, high quality, and cost-efficiency of AI initiatives. AI-optimized storage performs a important function in enabling this, and the {industry} urgently wants a constant methodology and interface for consuming AI-optimized storage. IBM is proud to collaborate with SNIA in advancing these requirements and options,” mentioned Vincent Hsu, IBM Fellow, CTO and VP for IBM Storage.
“AI workloads are redefining the boundaries of compute and information infrastructure. Storage.AI presents a important, vendor-neutral basis that unites innovation throughout the ecosystem from storage structure to reminiscence hierarchy, serving to to make sure scalable, environment friendly options, purpose-built for the AI period,” mentioned Ronak Singhal, Intel Senior Fellow, Xeon Merchandise.
“AI workloads demand unprecedented ranges of knowledge throughput, effectivity and scalability,” mentioned Karthik Ganesan, Fellow, Storage Options Structure at Micron. “Because the leaders in reminiscence and storage merchandise for AI workloads, enabling requirements to make sure interoperability is important to our capability to remain on the vanguard of delivering new options like our PCIe Gen6 SSDs. By constructing Storage.AI collectively utilizing an open strategy, we will pace up innovation and create the information infrastructure AI must thrive.”
“AI workloads demand unprecedented effectivity, scalability, and efficiency from storage options,” mentioned Ed Fiore, Vice President and Fellow, Chief Programs Architect at NetApp. “NetApp is dedicated to delivering progressive storage applied sciences that optimize AI information pipelines, making certain seamless information entry and administration. By becoming a member of SNIA’s Storage.AI initiative, we’re excited to collaborate with {industry} leaders to develop open requirements that drive interoperability and unlock the total potential of AI. Collectively, we’ll speed up AI developments and create a strong ecosystem that advantages everybody.”
“Storage.AI highlights the function of knowledge infrastructure and administration as organizations evolve, interoperate, and scale for an AI future,” mentioned Rob Lee, Pure Storage CTO. “Pure Storage has lengthy led the storage {industry} in championing open requirements and deep ecosystem integration. Because the {industry} tackles AI-related information challenges to drive actual outcomes, Pure Storage sees the inspiration in seamless information motion throughout environments, policy-aware storage orchestration, and a transparent give attention to making certain information sovereignty is rarely a strategic landmine. Synthetic intelligence is barely as highly effective as the information storage platform beneath it, and the way forward for AI calls for trendy, scalable infrastructure that’s constructed for flexibility, efficiency, and governance.”
“As AI workloads require sooner and extra environment friendly information processing, a collaborative strategy is required to deal with the storage challenges that include it,” mentioned Leno Park, Vice President of Storage Options Product Planning, Samsung Electronics. “We’re excited to hitch the SNIA Storage.AI initiative and contribute our experience in reminiscence and storage options to assist develop industry-standard, non-proprietary approaches that optimize AI efficiency and effectivity.”
“Exhausting drive storage is important to unlocking the total worth of knowledge in AI workloads—delivering scalable, environment friendly and cost-effective options that assist international innovation,” mentioned Jason Feist, Senior Vice President of Cloud Advertising at Seagate Expertise. “By advancing open requirements by Storage.AI, Seagate helps to allow infrastructure development that meets the elevated demand for efficiency required by the next-gen know-how ecosystem.”
“AI is pushing infrastructure to its limits, creating effectivity, energy, and scale challenges that require industry-wide options. Constructing on SNIA’s legacy of advancing storage requirements, WEKA is worked up to hitch the Storage.AI initiative to assist develop open requirements that may profit your complete AI ecosystem,” mentioned Ajay Singh, chief product officer at WEKA. “We’ve lengthy believed that AI wants a brand new class of knowledge structure—one which scales with the workload, with out compromising efficiency or resiliency. By working with stakeholders throughout your complete infrastructure stack, we will higher tackle these core technical challenges and unlock AI’s potential to rework the way forward for innovation.”
