Santa Clara, CA., August 4, 2025 – SNIA, a not-for-profit group for applied sciences associated to dealing with and optimizing information, right this moment introduced Storage.AI, an open requirements mission designed for environment friendly information companies associated to AI workloads. Storage.AI will concentrate on 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 mission will work to construct broad ecosystem help 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, area, energy and cooling, reminiscence, and price. Addressing these issues by means of an open {industry} initiative is the quickest path to optimization and adoption. SNIA’s 25+ 12 months observe 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 guide the SNIA Storage.AI information mission.
“The unprecedented calls for of AI require a holistic view of the info pipeline, from storage and reminiscence to networking and processing,” stated 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 mission 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 frequent objectives. For extra data, go to snia.ai.
“The enterprise applied sciences powering right this moment’s most demanding AI workloads are solely as efficient as the info they will entry,” stated Robert Hormuth, company vp, Information Middle Options Group, AMD. “As a member of Storage.AI, we’re excited to collaborate with different leaders to offer 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 prospects’ digital infrastructure. As AI continues to broaden throughout the enterprise, integrating strong storage options with AI workloads has grow to be more and more necessary. In right this moment’s AI-driven panorama, information units our prospects 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 better,” stated Santosh Erram, VP of Public Cloud Alliances at DDN. “At DDN, we’re proud to help SNIA’s Storage.AI initiative—an necessary step towards fostering collaboration, driving interoperability, and setting open requirements that allow the AI ecosystem to thrive. By working collectively, we are able to unlock sooner innovation and extra significant outcomes for patrons and companions throughout the AI panorama.”
“To completely understand the potential of AI, enterprises should remodel uncooked information into structured, ruled data. Storage and Information Engines play a pivotal position 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,” stated Rajesh Rajaraman, CTO and VP Dell Storage, Information and Cyber Resilience.
“Efficient information administration is key to the efficiency, high quality, and cost-efficiency of AI tasks. AI-optimized storage performs a crucial position 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,” stated Vincent Hsu, IBM Fellow, CTO and VP for IBM Storage.
“AI workloads are redefining the boundaries of compute and information infrastructure. Storage.AI gives a crucial, 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,” stated Ronak Singhal, Intel Senior Fellow, Xeon Merchandise.
“AI workloads demand unprecedented ranges of knowledge throughput, effectivity and scalability,” stated 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 crucial to our potential to remain on the forefront of delivering new options like our PCIe Gen6 SSDs. By constructing Storage.AI collectively utilizing an open method, we are able to velocity up innovation and create the info infrastructure AI must thrive.”
“AI workloads demand unprecedented effectivity, scalability, and efficiency from storage options,” stated Ed Fiore, Vice President and Fellow, Chief Methods Architect at NetApp. “NetApp is dedicated to delivering modern storage applied sciences that optimize AI information pipelines, guaranteeing 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 are going to speed up AI developments and create a sturdy ecosystem that advantages everybody.”
“Storage.AI highlights the position of knowledge infrastructure and administration as organizations evolve, interoperate, and scale for an AI future,” stated 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 concentrate on guaranteeing information sovereignty isn’t a strategic landmine. Synthetic intelligence is simply as highly effective as the info 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 method is required to deal with the storage challenges that include it,” stated 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.”
“Onerous drive storage is crucial to unlocking the total worth of knowledge in AI workloads—delivering scalable, environment friendly and cost-effective options that help world innovation,” stated Jason Feist, Senior Vice President of Cloud Advertising at Seagate Expertise. “By advancing open requirements by means of Storage.AI, Seagate helps to allow infrastructure development that meets the elevated demand for efficiency required by the next-gen expertise 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 happy to hitch the Storage.AI initiative to assist develop open requirements that may profit the complete AI ecosystem,” stated 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 the complete infrastructure stack, we are able to higher handle these core technical challenges and unlock AI’s potential to remodel the way forward for innovation.”
