AI Coding Live News

NVIDIA launches OpenShell Reference Architecture at GTC Berlin: Vera Rubin, Vera CPUs and BlueField-4 Sentry for hardware-enforced safe AI agents

At GTC Berlin on Oct 21, NVIDIA announced the OpenShell Reference Architecture: building on the open-source OpenShell secure runtime, it pairs Vera Rubin for inference, Vera CPUs for agent harnesses, and BlueField-4 DPUs running NVIDIA Sentry for in-silicon policy enforcement, so enterprises can build, contain, observe and govern agents on-prem and at the edge. NVIDIA says it is available now; partners named include Anthropic, OpenAI, Meta, Microsoft and ServiceNow. The software is Apache 2.0.

NVIDIA launches OpenShell Reference Architecture at GTC Berlin: Vera Rubin, Vera CPUs and BlueField-4 Sentry for hardware-enforced safe AI agents

Key Takeaways

  • Full stack: Vera Rubin for model inference, Vera CPUs for agent harnesses/tool use, BlueField-4 + Sentry for in-silicon policy and quarantine (vendor claims)
  • Vendor claims: Vera Rubin NVL72 about 30x throughput per megawatt on agentic workloads; Sentry can quarantine a boundary-breaking agent in milliseconds and boost agent capacity by up to 20%
  • Runtime: deny-by-default, enforcement outside the agent process; sandboxes have no direct network, syscalls are filtered in-kernel, credentials are injected only onto allowed requests
  • Stated agent paths include Claude Code, Codex, GitHub Copilot CLI, OpenCode, OpenClaw, LangChain Deep Agents; deploy with Docker, Podman or Kubernetes via Helm
  • Start: curl install script then openshell sandbox create; docs at docs.nvidia.com/openshell; GitHub NVIDIA/OpenShell (Apache 2.0) and PyPI package openshell
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NVIDIA DOCA Agent Skills on GitHub: verified API/hardware contracts lift 65-prompt checklist pass from 19% to 100%

On 2026-10-01 NVIDIA published DOCA AI agent skills on NVIDIA/skills: SKILL.md packs with real API signatures, hardware capability checks, and build constraints for Flow, GPUNetIO, PCC, RDMA, and more. Vendor 65-prompt eval: 19% checklist items without skills vs 100% with; RDMA demo used 73% less handwritten code and 46% fewer hardware commands. Installable into Claude Code, Codex, and other coding agents.

NVIDIA DOCA Agent Skills on GitHub: verified API/hardware contracts lift 65-prompt checklist pass from 19% to 100%

Key Takeaways

  • Blog 2026-10-01 + https://github.com/NVIDIA/skills
  • SKILL.md: real APIs, hardware capability manifests, build/preflight contracts
  • Vendor 65-prompt eval: 19% → 100% checklist; top failures without skills documented in blog
  • RDMA demo: −73% handwritten code, −46% hardware commands (vendor)
  • Install into Claude Code/Codex-class agents; keep human gates on firmware writes
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