NVM Express Adds Computational Storage Feature

NVM Express Adds Computational Storage Feature

The News: The NVM Express (NVMe) consortium recently announced a new addition to its specifications by adding a new computational storage feature. The new feature creates a vendor-neutral framework for using computational storage devices. More information can be found in the NVM Express press release here.

NVM Express Adds Computational Storage Feature

Analyst Take: NVMe, the consortium that oversees the NVMe specifications for SSDs, announced a new feature for computational storage. The feature adds new command sets and looks to set a standardized framework for connecting applications to computational storage devices.

Computational storage devices are, as the name strongly suggests, storage devices that contain built-in computational capabilities. While typically the term computational storage applies to devices with directly attached processors, in some cases, it may more generally apply to off-device accelerators that achieve similar outcomes. The overall idea behind computational storage is offloading specific computations from central processors to the storage devices themselves. This method can provide greater efficiency by reducing CPU workloads and by removing the overhead of data movement. Typically, computational storage devices have been used for applications such as encryption or data reduction. While the technology offers a compelling benefit in removing data movement bottlenecks, the overall adoption of the technology has been relatively slow.

The new NVMe computational storage feature looks to provide a vendor-neutral framework for connecting computational devices to applications. NVMe Computational Storage builds upon SNIA’s previously released Computational Storage Architecture and Programming Model with a specific focus on the NVMe specification. Included in the specification are two new command sets:

  • The Computational Programs Command Set: Manages computational programs on the device and includes commands for loading, activating, and executing programs as well as creating and deleting memory ranges.
  • The Subsystem Local Command Set: Supports access of memory in an NVMe subsystem via computational programs and NVMe transport. Commands include memory read, write, and copy commands.

NVMe’s addition of its computational storage feature puts a light back on a technology that seems to have struggled with adoption. While computational storage’s big selling point is reduction of data movement to increase performance, it faces competition from other approaches such as DPUs and other accelerator cards that solve similar problems. The new NVMe specification will help simplify and standardize utilization of computational storage devices, which may help boost adoption.

The new feature may also broaden the use cases of computational storage devices. While the typical use of these devices can certainly offer benefits and increase system performance, the typical program set has been fairly narrow, focusing on areas such as encryption, data reduction, or erasure coding. This may be in part by the computational power of the embedded devices, as well as a lack of defined and available programs. The new NVMe Computational Storage feature includes support to download programs. This ability may help broaden the applicability of such devices, especially as more computationally powerful devices continue to be developed.

The new NVMe Computational Storage feature is a positive development toward increased adoption of computational storage and ultimately removing data movement bottlenecks. One area in particular that may benefit heavily from broader use of computational storage in the future is the edge. The impact of this NVMe Computational Storage feature in boosting real adoption of the technology remains to be seen, but it will be an interesting area to keep an eye on.

Disclosure: The Futurum Group is a research and advisory firm that engages or has engaged in research, analysis, and advisory services with many technology companies, including those mentioned in this article. The author does not hold any equity positions with any company mentioned in this article.

Analysis and opinions expressed herein are specific to the analyst individually and data and other information that might have been provided for validation, not those of The Futurum Group as a whole.

Other Insights from The Futurum Group:

Seagate Announces Mozaic 3+ Drive Platform

Hammerspace Adds Tape Support for Global Data Environment

Weka Achieves NVIDIA DGX BasePod Certification

Author Information

Mitch comes to The Futurum Group through the acquisition of the Evaluator Group and is focused on the fast-paced and rapidly evolving areas of cloud computing and data storage. Mitch joined Evaluator Group in 2019 as a Research Associate covering numerous storage technologies and emerging IT trends.

With a passion for all things tech, Mitch brings deep technical knowledge and insight to The Futurum Group’s research by highlighting the latest in data center and information management solutions. Mitch’s coverage has spanned topics including primary and secondary storage, private and public clouds, networking fabrics, and more. With ever changing data technologies and rapidly emerging trends in today’s digital world, Mitch provides valuable insights into the IT landscape for enterprises, IT professionals, and technology enthusiasts alike.

Related Insights
Databricks AI’s GPU Reliability Push Exposes Hidden Risks for Large-Scale Training
July 3, 2026

Databricks AI’s GPU Reliability Push Exposes Hidden Risks for Large-Scale Training

Databricks AI reveals critical GPU reliability challenges in distributed training environments. Silent slowdowns and numerical corruption pose greater risks than visible failures, threatening model quality and compute efficiency at enterprise...
Domino Data Lab From MLOps Platform to Governed AI Application Factory
July 2, 2026

Domino Data Lab: From MLOps Platform to Governed AI Application Factory

Nick Patience, VP and Practice Lead, AI Platforms at Futurum, examines Domino Data Lab's pivot to governed AI application delivery, its agentic AI governance framework, and what the strategy means...
Lakebase and LTAP Challenge Database Orthodoxy, Are Monoliths Finally Obsolete?
July 2, 2026

Lakebase and LTAP Challenge Database Orthodoxy, Are Monoliths Finally Obsolete?

Databricks revolutionizes analytical platforms through Lakebase and LTAP, unifying transactional and analytical workloads. Research shows 73.6% of organizations are increasing spend, signaling a major shift from legacy databases....
Shopify’s PyTorch Foundation Move Signals a Power Shift in Open Source AI for Commerce
July 2, 2026

Shopify’s PyTorch Foundation Move Signals a Power Shift in Open Source AI for Commerce

Shopify's Platinum membership in the PyTorch Foundation signals a shift toward community-governed AI frameworks, avoiding vendor lock-in as enterprises increasingly deploy generative AI in production....
Can Miles Make Large-Scale LLM RL Post-Training Practical for the Enterprise?
July 1, 2026

Can Miles Make Large-Scale LLM RL Post-Training Practical for the Enterprise?

RadixArk's Miles framework tackles the enterprise AI adoption barrier by composing open-source tools into a unified stack for large-scale LLM reinforcement learning post-training, significantly reducing computational costs and engineering complexity....
Can Databricks Make Video Data Truly Searchable, or Will Scale Break the Model?
June 28, 2026

Can Databricks Make Video Data Truly Searchable, or Will Scale Break the Model?

Databricks unveils a new architecture for video analytics that integrates vision language models and serverless GPU compute, enabling enterprises to search, summarize, and automate insights from massive video datasets....

Book a Demo

Welcome

The vision behind everything in Futurum’s Custom Research practice is this: research should show you what is happening, what comes next, and what to do about it. It should be personal to each audience, easy for people to grasp, and structured so LLMs can reason over it accurately. And it should be fast and turnkey; you want answers now, not another project to carry for quarters.

Whether you are defining business, channel, or go-to-market strategy; evaluating vendors or justifying ROI; or commissioning research to fill an emerging market need, we have your back, with a program that answers your questions with the objectivity and credibility to drive real decisions.

To do it, we bring unmatched data to bear: Futurum research, surveys, and market projections; validated market feeds; ETR’s 15 years of insight from 10,000 technology decision-makers; G2’s buyer and user data; and what our analysts hear every day. Add leading primary collection, from AI-moderated voice interviews to surveys and analyst-led interviews, all turnkey, and every project comes out credible, nuanced, and actionable.

And we don’t just drop the results in your lap. For internal work, we provide analyst-led sessions, interactive dashboards, and a range of formats. For market-facing work, Futurum delivers turnkey activation and amplification that actually gets seen, by people and by LLMs, through our media and share of voice. This is research that moves decisions and markets.

We will meet you wherever you are, from a fast-turn brief to a multi-year program, and shape the work to your goals, timeline, and budget. The right program for your moment.

If any of this is useful, I would love to talk.

Benjamin Brown, VP Custom Research, Futurum Research

Benjamin Brown

VP, Custom Research · The Futurum Group

Newsletter Sign-up Form

Get important insights straight to your inbox, receive first looks at eBooks, exclusive event invitations, custom content, and more. We promise not to spam you or sell your name to anyone. You can always unsubscribe at any time.

All fields are required






Thank you, we received your request, a member of our team will be in contact with you.