hyperloom-remote-mn-qwen3-30b
Two nodes, one 30B MoE, 4 hours. PD-disagg or RayJob, sglang tuned, auto-monitored. You sleep.
What does this skill do?
Run a 4-hour multi-node Hyperloom Qwen3-30B-A3B optimization (Infera PD-disaggregated or RayJob aggregated) with --nodes 2 and sglang MoE tuning on MI325X. Hand this skill to the agent to launch and monitor the run.
Why is it worth installing?
Unlike bare launchers, it weaves PD-disagg and RayJob topologies, tuning, and monitoring into one ready-to-run fabric.
How do you install it?
git clone --depth 1 https://github.com/AMD-AGI/Hyperloom.git Then point your agent at the skill directory.
Where does it come from?
Repository: AMD-AGI/Hyperloom 138 stars on GitHub at the time of listing. The repository ships 1 skills in total. Homepage: https://rocm.docs.amd.com/projects/hyperloom