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How to Deploy NVIDIA NemoClaw on JarvisLabs

· 10 min read
Team JarvisLabs
JarvisLabs.ai

Deploy NemoClaw on JarvisLabs

NVIDIA NemoClaw is an open-source security stack that sandboxes autonomous AI agents at the kernel level. It wraps OpenClaw (an always-on AI assistant) inside the NVIDIA OpenShell runtime, enforcing filesystem isolation, network policies, and process restrictions so your agent can't escape its sandbox.

This guide shows the setup we used to run NemoClaw with local Nemotron 3 Nano 30B inference on a JarvisLabs A100 VM. No cloud API keys needed. Total setup time was under 15 minutes, inference runs at ~1 second per query, and the whole thing cost $1.13.

caution

NemoClaw is in early preview (released March 16, 2026). APIs and runtime behavior may have breaking changes. Do not use this in production.

How to Run PrismAudio on JarvisLabs

· 8 min read
Vishnu Subramanian
Founder @JarvisLabs.ai

PrismAudio just dropped. It's a 518M parameter Video-to-Audio model accepted at ICLR 2026 that generates synchronized audio from silent video. Give it a clip of someone drumming on water bottles, and it produces the sound of tapping and splashing. Benchmark inference is 0.63 seconds, faster than both MMAudio (1.30s) and ThinkSound (1.07s).

We ran it on a JarvisLabs A100. Here's how we got it working, the gotchas we hit along the way, and a clean recipe you can follow.