PEAK:AIO Will Debut pNFS Lattice in Santa Clara
The data infrastructure project will be featured at the upcoming SNIA Developer Conference this September.
Updated on Sept. 22, 2026 in Data Centers
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PEAK:AIO and Los Alamos National Laboratory are set to present the pNFS Lattice project at the SNIA Developer Conference in Santa Clara, California. These sessions, scheduled for September 28, 2026, will explore how to scale metadata services independently of storage hardware.
Why it matters
As AI clusters grow to include thousands of GPUs, traditional static metadata infrastructure often becomes a performance bottleneck. This architecture aims to transform metadata into an elastic, scalable service to improve system efficiency.
The pNFS Lattice architecture allows metadata services to scale independently from storage infrastructure. The technology addresses performance limitations occurring when AI clusters expand to thousands of GPUs.
The players
PEAK:AIO
This Manchester, UK-based company specializes in data infrastructure and collaborative software development.
Los Alamos National Laboratory
This premier research institution partners with industry and academic entities to advance high-performance computing technologies.
John Harechmak
He is a technical expert who will co-present the pNFS Lattice architecture session at the upcoming industry event.
Brian Atkinson
He is an industry professional scheduled to present on metadata state and control at the developer conference.
The details
The sessions provide a platform for developers to discuss community participation and the decoupling of metadata state and control. The project, which was first introduced earlier in 2026, is released under the Linux Foundation to encourage wider collaboration.
Timeline
September 28, 2026, 5:10 PM: Presentation on decoupling metadata state and control.
September 28, 2026, 7:00 PM: Birds of a Feather session on pNFS Lattice.
September 28-30, 2026: SNIA Developer Conference duration.
The Tech Race
The project extends the capabilities of the existing pNFS protocol to solve modern scaling issues. By evolving legacy storage standards, this technology positions itself to handle the increased metadata demands of modern AI-driven data centers.
Developers and systems architects attending the sessions will gain actionable insights into implementing scalable metadata services. These advancements may eventually lead to more efficient storage configurations for organizations managing large-scale AI workloads.
The takeaway
The transition to elastic metadata services is becoming a critical requirement for maintaining high performance in large-scale computing environments. Industry professionals should focus on how these modular architectures can alleviate bottlenecks in their own storage deployments.
Further reading
Learn more about the latest innovations in Data Centers on our technology hub.
More information
Find additional details and company background on the PEAK:AIO company information page.
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Should organizations prioritize open-source standards for AI and high-performance computing infrastructure?
