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vllm for Jetson Orin (SM 87)
log=== 1. Environment === INFO : GPU : Orin (nvgpu) INFO : Compute cap : 8.7 PASS : Compute capability is 8.7 (Jetson Orin / Ampere) INFO : Driver : 540.4.0 PASS : Driver 540.4.0 identified (Tegra 540.x series, CUDA 12.6 JIT limit) INFO : nvcc : 12.9 INFO : Python : Python 3.12.13 INFO : vLLM : 0.21.0 PASS : vLLM 0.21.0 is installed === 2. Flash-attention .so cubin targets === INFO : _vllm_fa2_C cubins : [sm_87 ] INFO : _vllm_fa2_C ptx_ver : [none] PASS : _vllm_fa2_C contains native sm_87 cubin PASS : _vllm_fa2_C has no PTX blob (correct — no JIT needed on driver 540.x) INFO : _vllm_fa3_C cubins : [sm_87 ] PASS : _vllm_fa3_C built for sm_87 (modern vLLM ≥0.19 — FA3 usable on Jetson) === 3. Main extension .so cubin targets === INFO : _C (main ops) cubins : [sm_87 ] PASS : _C (main ops) contains native sm_87 cubin INFO : _moe_C (MoE ops) cubins : [sm_87 ] PASS : _moe_C (MoE ops) contains native sm_87 cubin === 4. vLLM attention backend selection === INFO : compute_capability=8.7 sm=87 backend_selection=FlashAttention (FA2) [sm_87 is supported, FA3 is supported sm_87] PASS : PyTorch confirms compute capability 8.7 === 5. Quantisation readiness (sm_87 compatible) === INFO : Quant stack : bn=1|awq=0|gguf=1|ctens=1|methods=empty INFO : AWQ partially detected (Transformers-version-dependent) PASS : GGUF reader present — community quant packs accessible PASS : compressed-tensors installed — generic quant wrappers available INFO : FP8 KV-cache : via_argutils PASS : FP8 KV-cache dtype recognised — halves KV VRAM (0.21.0) INFO : Launch tip: --kv-cache-dtype fp8 (attention still BF16-computed on Ampere) === 6. Speculative-decode readiness === INFO : Spec-Decoders : draft_model,eagle,gemma4_mtp,medusa,ngram,ngram_gpu (conditional: dflash) PASS : Active spec-decoders for sm_87: draft_model,eagle,gemma4_mtp,medusa,ngram,ngram_gpu WARN : Conditional spec-decoders (need non-standard attn/backend cfg): dflash INFO : Tip: DFlash requires causal=False attention — set --attention-backend triton === 7. Runtime / deployment knobs === INFO : Runtime profile : arg_count=201&engine_ok=True&has_guided_decoding=False&has_opentelemetry=True&has_perf_mode=True&has_vllm__C=True PASS : EngineArgs introspected — 201 configurable params surfaced PASS : --performance-mode knob available — steer towards interactivity or throughput INFO : Guided-decoding arg not surfaced in EngineArgs PASS : OpenTelemetry trace collector bundled — observability ON by default PASS : vllm._C loads cleanly — JIT monitoring infrastructure likely present === Final tally === RESULT: PASSED — wheel ready for Jetson Orin SM 8.7
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oldzhang
运维工程师
Linux服务器
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"Docker访问体验非常流畅，大镜像也能快速完成下载。"