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mudler's LocalAI [bot]andEttore Di Giacinto
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The vllm-cpp CUDA images were built for Blackwell only: 120a;121a on amd64 and 121a alone on arm64. vllm.cpp's own release archive builds ten architectures, so LocalAI shipped one or two of them. The failure mode is the problem. An unlisted card is not slower, it dies at the first request with "no kernel image is available for execution on the device", long after `backends install` reported success. That covers A100, A10/3090, L4/4090/RTX 6000 Ada, H100/H200, B200, B300, Jetson Orin and Jetson Thor, and it is how a Jetson Thor node was found serving nothing at all. amd64 now builds 80;86;89;90a;100a;103a;120a;121a and arm64 builds 87;90a;100a;110;121a, split by where the silicon exists: Jetson is arm64-only, desktop 120a is amd64-only, and 90a/100a are on both because of GH200/GB200. Triton-AOT stays ON for both, which the old comment said was impossible. It is not, at the version we pin: only maintainer REGEN needs a single arch, while the BUILDER path embeds every vendored cubin tree and selects by exact SM, so 87/103a/110/120a take the portable CUDA kernels and can never load a neighbouring cubin. Upstream ships its ten-SM archive that way. The CUDA 13 guard now covers both branches rather than amd64 alone. arm64 needs compute_121a just as much, and CI already builds it with 13. Cost is smaller than the arch count suggests, because gencode is per-source: fp4-mma still resolves to 120a;121a, and the CUTLASS scaled-mm kernels to one arch each, so the added architectures do not multiply the expensive translation units. Verified: flag generation checked for both branches, CUDA 12 still refused, CPU build untouched; both arch lists expanded through vllm.cpp's own vt_cuda_gencode_options and per-feature arch gating, and all six vendored Triton trees confirmed intact, at the exact pinned commit. A real compile is CI-only: there is no CUDA toolchain on the dev box. Assisted-by: Claude Code:claude-opus-5[1m] [Read] [Bash] [Edit] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Ettore Di Giacinto <mudler@localai.io>