# Nvidia turns the AI factory into a product, and agents into the workload

DevFeed: [Nvidia turns the AI factory into a product, and agents into the workload](<https://devfeed.tech/articles/nvidia-turns-the-ai-factory-into-a-product-and-agents-into-the-workload-93180.md>)

Original publisher: [Read original article](<https://siliconangle.com/2026/10/21/nvidia-turns-the-ai-factory-into-a-product-and-agents-into-the-workload/>)

Author: Zeus Kerravala

Published: 2026-10-21T20:52:15Z

Content type: news

Language: en

Sources: [SiliconANGLE](<https://devfeed.tech/sources/siliconangle.md>)

Topics: [AI Factory](<https://devfeed.tech/topics/ai-factory.md>), [NVIDIA DSX](<https://devfeed.tech/topics/nvidia-dsx.md>), [OpenShell](<https://devfeed.tech/topics/openshell.md>), [Nvidia](<https://devfeed.tech/topics/nvidia.md>)

Tags: [agent](<https://devfeed.tech/tags/agent.md>), [agent-security](<https://devfeed.tech/tags/agent-security.md>), [agentic-ai](<https://devfeed.tech/tags/agentic-ai.md>), [agents](<https://devfeed.tech/tags/agents.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-agent](<https://devfeed.tech/tags/ai-agent.md>), [ai-chip](<https://devfeed.tech/tags/ai-chip.md>), [ai-factories](<https://devfeed.tech/tags/ai-factories.md>), [ai-infrastructure](<https://devfeed.tech/tags/ai-infrastructure.md>), [architecture](<https://devfeed.tech/tags/architecture.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [bluefield-4](<https://devfeed.tech/tags/bluefield-4.md>), [chip](<https://devfeed.tech/tags/chip.md>), [chips](<https://devfeed.tech/tags/chips.md>), [cisco-systems](<https://devfeed.tech/tags/cisco-systems.md>), [generative-ai](<https://devfeed.tech/tags/generative-ai.md>), [gtc](<https://devfeed.tech/tags/gtc.md>), [infra](<https://devfeed.tech/tags/infra.md>), [jensen-huang](<https://devfeed.tech/tags/jensen-huang.md>), [news](<https://devfeed.tech/tags/news.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [nvidia-gtc](<https://devfeed.tech/tags/nvidia-gtc.md>), [the-latest](<https://devfeed.tech/tags/the-latest.md>), [top-story-5](<https://devfeed.tech/tags/top-story-5.md>)

## AI overview

At GTC Berlin, Nvidia presented a strategy to sell an AI factory operating model alongside its chips, addressing deployment time, power, agent security, enterprise data and telecom infrastructure. Its DSX POD reference design packages seven Vera Rubin NVL72 racks with cabling and cooling; Nvidia says a prepared-site deployment could shrink from six months to as little as 14 days, with delivery expected in early 2027. That estimate assumes site readiness and does not remove grid connection delays. Nvidia also says DSX MaxLPS can provide the same output with up to 30% less power, while DSX Flex can defer or throttle workloads in response to grid needs. OpenShell places policy enforcement outside an agent's reach; the article distinguishes its software protections from additional hardware isolation using BlueField-4 and Sentry. Nvidia's Agent Knowledge Foundation and Kumo structured-data models target enterprise tables, and the company is promoting telco sites as distributed AI infrastructure. The article frames these launches as a broader bet on faster deployment and time to revenue, while noting that Nvidia's promise of an open stack will face scrutiny as its offerings expand.

## Source excerpt

For most of the past half-decade, the narrative around Nvidia Corp. has largely centered on the graphics processing unit. The questions have been who has allocation, how much faster the next generation is and whether anyone can close the gap. At GTC Berlin early today, Chief Executive Jensen Huang spent surprisingly little of his keynote [...] The post Nvidia turns the AI factory into a product, and agents into the workload appeared first on SiliconANGLE.