--- title: As AI Increases Demands on Memory, Storage Steps Up description: NVIDIA is announcing several AI storage advancements at the FMS conference, addressing the growing gap between GPU compute speed and storage throughput. Key... canonical: https://daily.dev/posts/as-ai-increases-demands-on-memory-storage-steps-up-guzxppmkq twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: As AI Increases Demands on Memory, Storage Steps Up | daily.dev og:description: NVIDIA is announcing several AI storage advancements at the FMS conference, addressing the growing gap between GPU compute speed and storage throughput. Key... og:url: https://daily.dev/posts/as-ai-increases-demands-on-memory-storage-steps-up-guzxppmkq og:image: https://api.daily.dev/og/posts/guzxpPMKq.png og:image:alt: As AI Increases Demands on Memory, Storage Steps Up og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # As AI Increases Demands on Memory, Storage Steps Up **[NVIDIA](https://daily.dev/sources/nvidia)** · 6 min read · 1 upvotes · 0 comments ## Summary NVIDIA is announcing several AI storage advancements at the FMS conference, addressing the growing gap between GPU compute speed and storage throughput. Key announcements include open-sourcing the cuFile APIs (part of GPUDirect Storage) with Google, Intel, Meta, and NVIDIA as maintainers, enabling GPUs to read/write storage directly in microseconds. The Storage-Next initiative brings together 40+ storage and flash vendors to standardize GPU-driven storage behavior. NVIDIA's SCADA framework enables massively parallel GPUs to pull only necessary data directly from storage into high-speed memory. The Vera BlueField-4 STX processor delivers up to 3.21x higher throughput than x86 CPUs in compression/encryption pipelines. Security is built into the architecture via a split-privilege model that keeps user-facing code outside the trusted computing base while a privileged component manages protected storage access. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Questions this post answers ### What is NVIDIA cuFile and why is it being open sourced? cuFile is an open source component of NVIDIA GPUDirect Storage that lets GPUs, rather than just CPUs, read from and write to storage directly, accessing data in microseconds. NVIDIA is open sourcing the cuFile APIs and the underlying vertical storage software stack, with Google, Intel, NVIDIA and Meta serving as inaugural maintainers on a new dedicated site for community contributions. _Engineers weighing GPU-direct storage adoption can follow cuFile's open source progress through daily.dev._ ### How much faster is the NVIDIA Vera CPU than x86 for storage encryption and compression? The NVIDIA Vera CPU, part of NVIDIA Vera BlueField-4 STX, delivers up to 3.21x higher throughput than an x86 CPU in a two-stage compression and encryption pipeline, according to benchmarks from an NVIDIA technical blog. This lets storage platforms absorb larger volumes of AI data with less compute infrastructure. _Teams comparing storage processor throughput can track benchmarks like this via daily.dev._ ### What is NVIDIA SCADA and how does it keep GPU-direct storage access secure? SCADA (scaled, accelerated data access) is an NVIDIA framework that lets massively parallel GPUs pull only the data an application needs directly from storage into their own high-speed memory. It stays secure by splitting the job: user-facing application components needing raw speed remain outside the trusted computing base, while a separate privileged component configures protected access at setup following standard Linux security protocols. _Developers building agentic AI pipelines can keep up with frameworks like SCADA through daily.dev._ ## Similar posts on daily.dev - [NVIDIA’s BlueField-4 STX Aims to Fix the Storage Problem AI Agents Keep Running Into](https://daily.dev/posts/nvidia-s-bluefield-4-stx-aims-to-fix-the-storage-problem-ai-agents-keep-running-into-cskx8emnw) · Security Boulevard · 1 upvotes · 0 comments - [GPU monsters eat supercomputing, legacy storage starves](https://daily.dev/posts/gpu-monsters-eat-supercomputing-legacy-storage-starves-hfytfow8q) · The Register · 0 upvotes · 0 comments - [Expanding AI Storage Access with NVIDIA cuObject and the NVIDIA SCADA Server SDK](https://daily.dev/posts/expanding-ai-storage-access-with-nvidia-cuobject-and-the-nvidia-scada-server-sdk-bb8vetucz) · NVIDIA Developer · 0 upvotes · 0 comments - [Delivering AI-Ready Enterprise Data With GPU-Accelerated AI Storage](https://daily.dev/posts/delivering-ai-ready-enterprise-data-with-gpu-accelerated-ai-storage-iok21z8yn) · NVIDIA · 0 upvotes · 0 comments --- Tags: [#nvidia](https://daily.dev/tags/nvidia), [#agentic-ai](https://daily.dev/tags/agentic-ai), [#ai-infrastructure](https://daily.dev/tags/ai-infrastructure) [View this post on daily.dev](https://daily.dev/posts/as-ai-increases-demands-on-memory-storage-steps-up-guzxppmkq) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"As AI Increases Demands on Memory, Storage Steps Up","url":"https://daily.dev/posts/as-ai-increases-demands-on-memory-storage-steps-up-guzxppmkq","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/as-ai-increases-demands-on-memory-storage-steps-up-guzxppmkq"},"datePublished":"2026-08-04T16:14:58.957Z","dateModified":"2026-09-13T19:55:20.262Z","description":"NVIDIA is announcing several AI storage advancements at the FMS conference, addressing the growing gap between GPU compute speed and storage throughput. 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