feat(runners): add GMI Cloud launchers (H100/H200/B200/B300/GB200)#1216
Draft
OCWC22 wants to merge 1 commit intoSemiAnalysisAI:mainfrom
Draft
feat(runners): add GMI Cloud launchers (H100/H200/B200/B300/GB200)#1216OCWC22 wants to merge 1 commit intoSemiAnalysisAI:mainfrom
OCWC22 wants to merge 1 commit intoSemiAnalysisAI:mainfrom
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Add hardware-specific GMI Cloud launcher scripts for H100/H200/B200/B300/GB200.\nThe launchers mirror existing cw/cr/dgxc/nb/nv runner launcher conventions for bare-metal execution.\nNo benchmark methodology, metrics collection, or replay logic is modified. Signed-off-by: William Chen <57119977+OCWC22@users.noreply.github.com>
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Upstream PR draft — do not yet send
Title: runners: add GMI Cloud as a first-class launcher (H100/H200/B200/B300/GB200) — closes B300+ NeoCloud gap
Source:
/Users/chen/Projects/Inferscope/prompt-exports/2026-04-27-inferencex-gap-analysis.md(§6.3)This PR adds GMI Cloud as a supported runner across the full Hopper +
Blackwell range, mirroring the existing cw/cr/dgxc/nb/nv pattern.
What changes
launch_b300-gmi.sh, launch_gb200-gmi.sh
runners/GMI_QUICKSTART.md, GMI_QUICKSTART_H100.md, GMI_QUICKSTART_GB200.md
Why
to the full Blackwell + Hopper range
(NVIDIA-direct); this PR closes the "B300+ outside NVIDIA's own infra"
gap. CoreWeave/Crusoe/Nebius launchers max at B200.
Validation
on GMI GB200 NVL72
Diagnostic add-on (separate companion blog, not this PR)
Touchdown Labs is publishing an inferscope.ai post citing InferenceX
as the substrate, using our open-source
inferguard-clito surfacePD-disagg failure modes during the multi-node DSv4 GB200 sweep. Linked
in the post; no code dependency on this PR.
Validation status (filled in after smoke runs)
Send when
All 4 boxes above are checked, plus the TDL companion blog draft is locked.