NVIDIA Nsight AI

NVIDIA Nsight AI is NVIDIA's CUDA assistant for coding agents: a hosted CUDA MCP server, the Nsight Copilot VS Code extension, Nsight Compute integration, and an open-source self-hosted blueprint. Rechecked 2026-08-21 on developer.nvidia.com/nsight-ai. The FAQ on that page says Nsight AI is the rebranded platform that replaces Nsight Copilot.

r/LocalLLaMA posted that NVIDIA dropped an NVIDIA-hosted CUDA MCP for searching current docs, writing GPU code, and analyzing performance. That thread is why this page exists.

It is not a general chat model and not Chrome DevTools MCP. Pair it with Claude Code, Codex, Cursor, or Google Antigravity. The product page lists those four plus a generic MCP JSON block.

Key Features

• Hosted CUDA MCP: https://api.copilot.nsight.ngc.nvidia.com/mcp/cuda-docs. First connection signs in with an NVIDIA Developer account; the client reuses that later.
• Nsight Copilot in VS Code and Nsight Compute: CUDA-aware chat, code generation, and guidance on issues such as uncoalesced memory access. Marketplace id on the page: NVIDIA.nsight-copilot.
• Self-hosted blueprint: github.com/NVIDIA-AI-Blueprints/nsight-copilot, Apache 2.0, created 2026-02-12. GitHub listed 27 stars on 2026-08-21. The page says Ubuntu 22.04+, Docker Compose v2, NVIDIA Container Toolkit, and at least 200 GB free disk. Hardware depends on the bundled NIM models; recheck the GitHub guide.
• Claude Code one-liner from the page: claude mcp add --scope user --transport http nvidia-cuda-docs https://api.copilot.nsight.ngc.nvidia.com/mcp/cuda-docs.
• Codex one-liner: codex mcp add nvidia-cuda-docs --url https://api.copilot.nsight.ngc.nvidia.com/mcp/cuda-docs.

Limitation: the hosted MCP is NVIDIA-curated documentation. The FAQ says proprietary code should use the self-hosted blueprint. We did not invent a seat price. Developer Program login is required for the hosted server.

Specs we rechecked

Do not invent a Pro plan.

Use Cases

• CUDA agents that keep citing stale docs.
• Nsight Compute users who want Copilot on uncoalesced access, as in NVIDIA's demo copy.
• Air-gapped GPU boxes that can run the blueprint instead of the hosted MCP.

Getting Started

1. Open NVIDIA Nsight AI.
2. Pick Claude Code, Codex, Cursor, or Antigravity and paste the snippet from that page.
3. Sign in with an NVIDIA Developer account on first connect.
4. If the code cannot leave the building, deploy Nsight Copilot Blueprint and recheck the hardware table.

Frequently Asked Questions

Is it free?

The hosted MCP needs a Developer account. The page does not publish a dollar seat. The blueprint is Apache 2.0; you pay for GPUs and disk.

Same as Chrome DevTools MCP?

No. That package drives a browser. This one answers CUDA questions and talks to Nsight.

Does it replace nsight-compute?

No. The FAQ says it complements traditional debugging.

Alternatives

• Chrome DevTools MCP: browser DevTools for agents, not CUDA docs.
• Google Antigravity: general agent IDE; can consume this MCP.
• Cursor: general IDE; add the MCP JSON from the NVIDIA page.

Tips

1. Recheck the MCP URL. Do not copy a guessed NGC path.
2. Sensitive kernels: use the blueprint, not the hosted server.
3. Do not quote the 27-star blueprint as a popularity crown.

Conclusion

If your agent writes CUDA, start at developer.nvidia.com/nsight-ai and add the hosted MCP. If the weights cannot leave the rack, open the Apache 2.0 blueprint instead.