NVIDIA launches OpenShell reference architecture for safe AI agents
NVIDIA announced the OpenShell Reference Architecture at GTC Berlin on October 21, 2026. The platform is designed to build, contain, observe, and enforce safe AI agents on enterprise infrastructure and edge systems. It combines NVIDIA Vera Rubin infrastructure for model inference, Vera CPUs for agent harnesses, and BlueField-4 DPUs running the Sentry security framework. This setup allows for…
Key points
- NVIDIA OpenShell combines Vera Rubin, Vera CPUs, and BlueField-4 DPUs for secure agent execution.
- Vera Rubin NVL72 systems deliver 30x higher throughput per megawatt for agentic workloads.
- ServiceNow Arc is generally available, using OpenShell for runtime governance and security enforcement.
The architecture supports leading enterprise operating systems, including those from Canonical, Red Hat, and Microsoft. NVIDIA claims Vera Rubin NVL72 systems deliver 30x higher throughput per megawatt for agentic workloads, while Vera CPUs offer 2x the performance of x86 processors. Sentry, powered by DOCA software, boosts agent capacity by up to 20%.
Major partners including Anthropic, AWS, Cisco, CrowdStrike, Google Cloud, IBM, Meta, Microsoft, OpenAI, and SAP are working with NVIDIA to enhance agent security. ServiceNow announced the general availability of ServiceNow Arc, a personal AI agent governed by NVIDIA OpenShell. The architecture is now available for deployment across cloud and on-premises environments.
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NVIDIA Launches OpenShell Reference Architecture for Safe AI Agents
manilatimes.net · 21 October 2026
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Coverage and discussion
4sources- NVIDIA Debuts OpenShell Reference Architecture for Agent GovernancePress · Unite.AI ·
- Nvidia and Anthropic partner to enhance AI security with OpenShell integrationPress · cryptobriefing.com ·
- NVIDIA OpenShell Makes AI Agent Safety a Silicon Problem for EnterprisesPress · 247wallst.com ·
The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.
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