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entrypoint.sh: correct driver-floor message (570+ unconditionally on cu128)

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The earlier message had per-arch driver minimums (525/535/555/570) that
came from when each chip first got driver support. That's not how CUDA
toolkit floors work -- cu128 imposes 570.26+ on EVERY GPU regardless of
arch. Only B300 (sm_103) and DGX Spark (sm_121) need a newer driver
(580+), and they ship factory with those drivers anyway.

External HF README has the same correction applied in temp/hf_readme.md
(updated separately when published).
This commit is contained in:
Daniel Han 2026-05-24 11:36:36 +00:00
commit c463d58277
1 changed files with 8 additions and 7 deletions
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15
docker/entrypoint.sh
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@ -79,15 +79,16 @@ if torch.cuda.is_available():
sys.exit(0)
print("ERROR: torch.cuda.is_available() is False despite nvidia-smi working.")
print()
print("Most likely the host NVIDIA driver is too old for CUDA 12.8.")
print("Required host driver versions for this image:")
print(" >= 570 RTX 50-series, RTX 6000 Pro Blackwell (sm_120)")
print(" >= 555 B100 / B200 (sm_100)")
print(" >= 535 H100 / H200 (sm_90)")
print(" >= 525 Ada / Ampere (sm_80 / sm_86 / sm_89)")
print("This image bakes in CUDA 12.8, so the host driver MUST be:")
print(" >= 570.26 (toolkit floor for cu128, applies to every GPU)")
print()
print("Two GPUs need an even newer driver because their launch driver was")
print("released after cu128's:")
print(" >= 580 B300 / GB300 (sm_103)")
print(" >= 580 GB10 / DGX Spark (sm_121)")
print()
print("Check the host (NOT the container) with: nvidia-smi")
print("Then upgrade the driver to match your GPU.")
print("Then upgrade the driver to match.")
sys.exit(1)
PY