============================== System Info ============================== OS : Ubuntu 24.04.1 LTS (x86_64) GCC version : (Ubuntu 13.3.0-6ubuntu2~24.04) 13.3.0 Clang version : Could not collect CMake version : version 3.28.3 Libc version : glibc-2.39 ============================== PyTorch Info ============================== PyTorch version : 2.7.0+cu126 Is debug build : False CUDA used to build PyTorch : 12.6 ROCM used to build PyTorch : N/A ============================== Python Environment ============================== Python version : 3.12.0 (main, Oct 3 2023, 01:27:23) [Clang 17.0.1 ] (64-bit runtime) Python platform : Linux-6.8.0-58-generic-x86_64-with-glibc2.39 ============================== CUDA / GPU Info ============================== Is CUDA available : True CUDA runtime version : Could not collect CUDA_MODULE_LOADING set to : LAZY GPU models and configuration : GPU 0: NVIDIA H100 NVL GPU 1: NVIDIA H100 NVL Nvidia driver version : 570.133.07 cuDNN version : Could not collect HIP runtime version : N/A MIOpen runtime version : N/A Is XNNPACK available : True ============================== CPU Info ============================== Architecture: x86_64 CPU op-mode(s): 32-bit, 64-bit Address sizes: 52 bits physical, 57 bits virtual Byte Order: Little Endian CPU(s): 32 On-line CPU(s) list: 0-31 Vendor ID: AuthenticAMD BIOS Vendor ID: Advanced Micro Devices, Inc. Model name: AMD EPYC 9174F 16-Core Processor BIOS Model name: AMD EPYC 9174F 16-Core Processor Unknown CPU @ 4.1GHz BIOS CPU family: 107 CPU family: 25 Model: 17 Thread(s) per core: 2 Core(s) per socket: 16 Socket(s): 1 Stepping: 1 Frequency boost: enabled CPU(s) scaling MHz: 47% CPU max MHz: 4408.2998 CPU min MHz: 1500.0000 BogoMIPS: 8200.40 Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm constant_tsc rep_good amd_lbr_v2 nopl nonstop_tsc cpuid extd_apicid aperfmperf rapl pni pclmulqdq monitor ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt aes xsave avx f16c rdrand lahf_lm cmp_legacy svm extapic cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw ibs skinit wdt tce topoext perfctr_core perfctr_nb bpext perfctr_llc mwaitx cpb cat_l3 cdp_l3 hw_pstate ssbd mba perfmon_v2 ibrs ibpb stibp ibrs_enhanced vmmcall fsgsbase bmi1 avx2 smep bmi2 erms invpcid cqm rdt_a avx512f avx512dq rdseed adx smap avx512ifma clflushopt clwb avx512cd sha_ni avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local user_shstk avx512_bf16 clzero irperf xsaveerptr rdpru wbnoinvd amd_ppin cppc amd_ibpb_ret arat npt lbrv svm_lock nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold avic v_vmsave_vmload vgif x2avic v_spec_ctrl vnmi avx512vbmi umip pku ospke avx512_vbmi2 gfni vaes vpclmulqdq avx512_vnni avx512_bitalg avx512_vpopcntdq la57 rdpid overflow_recov succor smca fsrm flush_l1d debug_swap Virtualization: AMD-V L1d cache: 512 KiB (16 instances) L1i cache: 512 KiB (16 instances) L2 cache: 16 MiB (16 instances) L3 cache: 256 MiB (8 instances) NUMA node(s): 1 NUMA node0 CPU(s): 0-31 Vulnerability Gather data sampling: Not affected Vulnerability Itlb multihit: Not affected Vulnerability L1tf: Not affected Vulnerability Mds: Not affected Vulnerability Meltdown: Not affected Vulnerability Mmio stale data: Not affected Vulnerability Reg file data sampling: Not affected Vulnerability Retbleed: Not affected Vulnerability Spec rstack overflow: Mitigation; Safe RET Vulnerability Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl Vulnerability Spectre v1: Mitigation; usercopy/swapgs barriers and __user pointer sanitization Vulnerability Spectre v2: Mitigation; Enhanced / Automatic IBRS; IBPB conditional; STIBP always-on; RSB filling; PBRSB-eIBRS Not affected; BHI Not affected Vulnerability Srbds: Not affected Vulnerability Tsx async abort: Not affected ============================== Versions of relevant libraries ============================== [pip3] numpy==1.26.4 [pip3] nvidia-cublas-cu12==12.6.4.1 [pip3] nvidia-cuda-cupti-cu12==12.6.80 [pip3] nvidia-cuda-nvrtc-cu12==12.6.77 [pip3] nvidia-cuda-runtime-cu12==12.6.77 [pip3] nvidia-cudnn-cu12==9.5.1.17 [pip3] nvidia-cufft-cu12==11.3.0.4 [pip3] nvidia-cufile-cu12==1.11.1.6 [pip3] nvidia-curand-cu12==10.3.7.77 [pip3] nvidia-cusolver-cu12==11.7.1.2 [pip3] nvidia-cusparse-cu12==12.5.4.2 [pip3] nvidia-cusparselt-cu12==0.6.3 [pip3] nvidia-ml-py==12.575.51 [pip3] nvidia-nccl-cu12==2.26.2 [pip3] nvidia-nvjitlink-cu12==12.6.85 [pip3] nvidia-nvtx-cu12==12.6.77 [pip3] pynvml==12.0.0 [pip3] pyzmq==27.0.0 [pip3] torch==2.7.0 [pip3] torchaudio==2.7.0 [pip3] torchvision==0.22.0 [pip3] transformers==4.52.4 [pip3] triton==3.3.0 [conda] Could not collect ============================== vLLM Info ============================== ROCM Version : Could not collect Neuron SDK Version : N/A vLLM Version : 0.9.1 vLLM Build Flags: CUDA Archs: Not Set; ROCm: Disabled; Neuron: Disabled GPU Topology:	GPU0	GPU1	CPU Affinity	NUMA Affinity	GPU NUMA ID GPU0 X	NV12	0-31	0	N/A GPU1	NV12 X	0-31	0	N/A Legend: X = Self SYS = Connection traversing PCIe as well as the SMP interconnect between NUMA nodes (e.g., QPI/UPI) NODE = Connection traversing PCIe as well as the interconnect between PCIe Host Bridges within a NUMA node PHB = Connection traversing PCIe as well as a PCIe Host Bridge (typically the CPU) PXB = Connection traversing multiple PCIe bridges (without traversing the PCIe Host Bridge) PIX = Connection traversing at most a single PCIe bridge NV# = Connection traversing a bonded set of # NVLinks ============================== Environment Variables ============================== NCCL_CUMEM_ENABLE=0 PYTORCH_NVML_BASED_CUDA_CHECK=1 TORCHINDUCTOR_COMPILE_THREADS=1 CUDA_MODULE_LOADING=LAZY