'AI success will be defined not by how much infrastructure organizations own, but by how productively they use it': Nvidia lays out its thoughts on how storage has become the next frontier of AI
Bytes move by Direct Memory Access (DMA) straight between the drive and GPU memory, with no bounce buffer in host RAM. What stayed on the CPU was the control path: host software still decided what to fetch and issued every request, with the GPU as the DMA target rather than the initiator.That split is invisible at large transfer sizes. A one-megabyte read essentially amortizes the per-request cost.
- ▪Bytes move by Direct Memory Access (DMA) straight between the drive and GPU memory, with no bounce buffer in host RAM.
- ▪What stayed on the CPU was the control path: host software still decided what to fetch and issued every request, with the GPU as the DMA target rather than the initiator.That split is invisible at large transfer sizes.
- ▪A one-megabyte read essentially amortizes the per-request cost.
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Story provenance
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Record
| Original publisher | TechRadar |
| Canonical URL | https://www.techradar.com/pro/ai-success-will-be-defined-not-by-how-much-infrastructure-organizations-own-but-by-how-productively-they-use-it-nvidia-lays-out-its-thoughts-on-how-storage-has-become-the-next-frontier-of-ai |
| Publication time | Sat, 08 Aug 2026 15:05:00 +0000 |
| Retrieval time | 2026-08-08T15:10:41.902Z |
| Last seen | 2026-08-08T15:10:41.902Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | w9M5IYHD9HWe · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Pro 'AI success will be defined not by how much infrastructure organizations own, but by how productively they use it': Nvidia lays out its thoughts on how storage has become the next frontier of AI News By Rahim Amir Published 8 August 2026 Storage is the new frontier for AI When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. (Image credit: Konstantin Savusia / Shutterstock) Copy link Facebook X Whatsapp Reddit Pinterest Flipboard Threads Email Share this article 0 Join the conversation Follow us Add us as a preferred source on Google Newsletter Subscribe to our newsletter Nvidia open sources its cuFile APIs and storage stack into a new GitHub organization with Google, Intel, and Meta as founding maintainers, and formally launched…
Excerpt limited to ~120 words for fair-use compliance. The full article is at TechRadar.
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