Nvidia’s scale-in play: Controlling agents is the next infrastructure priority
Nvidia Corp. is extending the data processing unit from infrastructure offload to a broader security role across the artificial intelligence factory. The opportunity is to make agentic AI safer to operate at scale. That’s according to Gilad Shainer, Nvidia’s senior vice president of networking, who sat down with theCUBE last week at our NYSE studios. […] The post Nvidia’s scale-in play:…
Nvidia is expanding its data processing unit (DPU) role to secure and control agentic AI within enterprise infrastructure, according to Gilad Shainer, Nvidia's senior vice president of networking. This "scale-in" initiative, which complements Nvidia's existing "scale-up," "scale-out," and "scale-across" network architecture, aims to connect more AI factory resources while extending security controls across the system.
The DPU, which has evolved beyond securing server access, now functions as a separate entity to monitor and control activity across the entire infrastructure. Nvidia's OpenShell 0.1.0, an open-source runtime, enables defining and enforcing which systems and data an agent can access, combining sandboxed execution, controlled service access, credential management, and formal policy analysis.
By introducing a more robust security infrastructure, Nvidia aims to provide enterprises with stronger control over their AI factories, enhancing trust and deepening its foothold in the ecosystem.
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