Testbench
Provisions a dedicated GPU on demand for work that shared hardware can't handle, hands back the results, and reports the onchain cost once settled. Aimed at CUDA-specific bugs and kernel work — overkill if your jobs run fine on ordinary shared compute.
What the creator says
Rents a dedicated GPU when a job cannot run on a shared machine, then returns the output and the settled onchain cost. For CUDA-only bugs, kernels that...
From the official x.ai listing as “Testbench by Prism”, checked 2026-09-01.
Put forward for
- Bug Reproductionfit 71
Explicitly for CUDA-only bugs and kernels that will not misbehave on a shared machine — it rents a dedicated GPU, runs the job and returns the output plus the onchain cost. Narrow: hardware-dependent reproduction only, no help with a web app bug report.
Browse related
Source and evidence
- Evidence
- References checked — Its listing matches the official x.ai page. We have not watched it work.
- Official link
- https://x.ai/bot/jbcYU5l_7qsLl49AIzh5q
- Last checked
- 2026-09-01 · link live
- Discovered via
- grokbot.dev
We do not reproduce template contents, prompt bodies or configuration — the official link above is the only install route, and it belongs to the creator. Our summary is our own words; the creator's description is quoted separately and credited.
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