vllm - 💡(How to fix) Fix [Bug]: glibc error when using vllm-0.20.0+cu129-cp38-abi3-manylinux_2_31_x86_64.whl [1 participants]

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vllm-project/vllm#41103Fetched 2026-04-29 06:12:25
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Error Message

ImportError: /lib/x86_64-linux-gnu/libc.so.6: version `GLIBC_2.34' not found

Fix Action

Fix / Workaround

============================== CPU Info

Architecture: x86_64 CPU op-mode(s): 32-bit, 64-bit Byte Order: Little Endian Address sizes: 46 bits physical, 48 bits virtual CPU(s): 56 On-line CPU(s) list: 0-55 Thread(s) per core: 2 Core(s) per socket: 14 Socket(s): 2 NUMA node(s): 2 Vendor ID: GenuineIntel CPU family: 6 Model: 79 Model name: Intel(R) Xeon(R) CPU E5-2680 v4 @ 2.40GHz Stepping: 1 CPU MHz: 1199.989 CPU max MHz: 3300.0000 CPU min MHz: 1200.0000 BogoMIPS: 4799.87 Virtualization: VT-x L1d cache: 896 KiB L1i cache: 896 KiB L2 cache: 7 MiB L3 cache: 70 MiB NUMA node0 CPU(s): 0-13,28-41 NUMA node1 CPU(s): 14-27,42-55 Vulnerability Itlb multihit: KVM: Mitigation: Split huge pages Vulnerability L1tf: Mitigation; PTE Inversion; VMX conditional cache flushes, SMT vulnerable Vulnerability Mds: Mitigation; Clear CPU buffers; SMT vulnerable Vulnerability Meltdown: Mitigation; PTI Vulnerability Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl and seccomp Vulnerability Spectre v1: Mitigation; usercopy/swapgs barriers and __user pointer sanitization Vulnerability Spectre v2: Mitigation; Full generic retpoline, IBPB conditional, IBRS_FW, STIBP conditional, RSB filling Vulnerability Srbds: Not affected Vulnerability Tsx async abort: Mitigation; Clear CPU buffers; SMT vulnerable Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf pni pclmulqdq dtes64 monitor ds_cpl vmx smx est tm2 ssse3 sdbg fma cx16 xtpr pdcm pcid dca sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch cpuid_fault epb cat_l3 cdp_l3 invpcid_single pti intel_ppin ssbd ibrs ibpb stibp tpr_shadow vnmi flexpriority ept vpid ept_ad fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm cqm rdt_a rdseed adx smap intel_pt xsaveopt cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local dtherm ida arat pln pts md_clear flush_l1d

Code Example

==============================
        System Info
==============================
OS                           : Ubuntu 20.04.6 LTS (x86_64)
GCC version                  : (Ubuntu 10.5.0-1ubuntu1~20.04) 10.5.0
Clang version                : Could not collect
CMake version                : version 4.3.2
Libc version                 : glibc-2.31

==============================
       PyTorch Info
==============================
PyTorch version              : 2.11.0+cu129
Is debug build               : False
CUDA used to build PyTorch   : 12.9
ROCM used to build PyTorch   : N/A

==============================
      Python Environment
==============================
Python version               : 3.13.6 (main, Aug 14 2025, 16:23:12) [Clang 20.1.4 ] (64-bit runtime)
Python platform              : Linux-5.4.0-100-generic-x86_64-with-glibc2.31

==============================
       CUDA / GPU Info
==============================
Is CUDA available            : True
CUDA runtime version         : 12.8.93
CUDA_MODULE_LOADING set to   : 
GPU models and configuration : 
GPU 0: NVIDIA GeForce RTX 3090
GPU 1: NVIDIA GeForce RTX 3090
GPU 2: NVIDIA GeForce RTX 3090
GPU 3: NVIDIA GeForce RTX 3090
GPU 4: NVIDIA GeForce RTX 3090
GPU 5: NVIDIA GeForce RTX 3090
GPU 6: NVIDIA GeForce RTX 3090
GPU 7: NVIDIA GeForce RTX 3090

Nvidia driver version        : 530.30.02
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
Byte Order:                      Little Endian
Address sizes:                   46 bits physical, 48 bits virtual
CPU(s):                          56
On-line CPU(s) list:             0-55
Thread(s) per core:              2
Core(s) per socket:              14
Socket(s):                       2
NUMA node(s):                    2
Vendor ID:                       GenuineIntel
CPU family:                      6
Model:                           79
Model name:                      Intel(R) Xeon(R) CPU E5-2680 v4 @ 2.40GHz
Stepping:                        1
CPU MHz:                         1199.989
CPU max MHz:                     3300.0000
CPU min MHz:                     1200.0000
BogoMIPS:                        4799.87
Virtualization:                  VT-x
L1d cache:                       896 KiB
L1i cache:                       896 KiB
L2 cache:                        7 MiB
L3 cache:                        70 MiB
NUMA node0 CPU(s):               0-13,28-41
NUMA node1 CPU(s):               14-27,42-55
Vulnerability Itlb multihit:     KVM: Mitigation: Split huge pages
Vulnerability L1tf:              Mitigation; PTE Inversion; VMX conditional cache flushes, SMT vulnerable
Vulnerability Mds:               Mitigation; Clear CPU buffers; SMT vulnerable
Vulnerability Meltdown:          Mitigation; PTI
Vulnerability Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl and seccomp
Vulnerability Spectre v1:        Mitigation; usercopy/swapgs barriers and __user pointer sanitization
Vulnerability Spectre v2:        Mitigation; Full generic retpoline, IBPB conditional, IBRS_FW, STIBP conditional, RSB filling
Vulnerability Srbds:             Not affected
Vulnerability Tsx async abort:   Mitigation; Clear CPU buffers; SMT vulnerable
Flags:                           fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf pni pclmulqdq dtes64 monitor ds_cpl vmx smx est tm2 ssse3 sdbg fma cx16 xtpr pdcm pcid dca sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch cpuid_fault epb cat_l3 cdp_l3 invpcid_single pti intel_ppin ssbd ibrs ibpb stibp tpr_shadow vnmi flexpriority ept vpid ept_ad fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm cqm rdt_a rdseed adx smap intel_pt xsaveopt cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local dtherm ida arat pln pts md_clear flush_l1d

==============================
Versions of relevant libraries
==============================
[pip3] numpy==2.4.4
[pip3] nvidia-cublas-cu12==12.9.1.4
[pip3] nvidia-cuda-cupti-cu12==12.9.79
[pip3] nvidia-cuda-nvrtc-cu12==12.9.86
[pip3] nvidia-cuda-runtime-cu12==12.9.79
[pip3] nvidia-cudnn-cu12==9.17.1.4
[pip3] nvidia-cudnn-frontend==1.18.0
[pip3] nvidia-cufft-cu12==11.4.1.4
[pip3] nvidia-cufile-cu12==1.14.1.1
[pip3] nvidia-curand-cu12==10.3.10.19
[pip3] nvidia-cusolver-cu12==11.7.5.82
[pip3] nvidia-cusparse-cu12==12.5.10.65
[pip3] nvidia-cusparselt-cu12==0.7.1
[pip3] nvidia-cutlass-dsl==4.4.2
[pip3] nvidia-cutlass-dsl-libs-base==4.4.2
[pip3] nvidia-ml-py==13.595.45
[pip3] nvidia-nccl-cu12==2.28.9
[pip3] nvidia-nvjitlink-cu12==12.9.86
[pip3] nvidia-nvshmem-cu12==3.4.5
[pip3] nvidia-nvtx-cu12==12.9.79
[pip3] onnx==1.21.0
[pip3] onnxruntime-gpu==1.25.1
[pip3] open_clip_torch==3.3.0
[pip3] pynvml==13.0.1
[pip3] pyzmq==27.1.0
[pip3] sentence-transformers==5.4.1
[pip3] torch==2.11.0+cu129
[pip3] torch_c_dlpack_ext==0.1.5
[pip3] torchaudio==2.11.0
[pip3] torchdata==0.11.0
[pip3] torchtitan==0.2.2
[pip3] torchvision==0.26.0+cu129
[pip3] transformers==5.6.2
[pip3] triton==3.6.0
[conda] Could not collect

==============================
         vLLM Info
==============================
ROCM Version                 : Could not collect
Neuron SDK Version           : N/A
vLLM Version                 : 0.20.0
vLLM Build Flags:
  CUDA Archs: Not Set; ROCm: Disabled; Neuron: Disabled
GPU Topology:
        GPU0    GPU1    GPU2    GPU3    GPU4    GPU5    GPU6    GPU7    CPU Affinity    NUMA Affinity
GPU0     X      PIX     PHB     PHB     SYS     SYS     SYS     SYS     0-13,28-41      0
GPU1    PIX      X      PHB     PHB     SYS     SYS     SYS     SYS     0-13,28-41      0
GPU2    PHB     PHB      X      PIX     SYS     SYS     SYS     SYS     0-13,28-41      0
GPU3    PHB     PHB     PIX      X      SYS     SYS     SYS     SYS     0-13,28-41      0
GPU4    SYS     SYS     SYS     SYS      X      PIX     PHB     PHB     14-27,42-55     1
GPU5    SYS     SYS     SYS     SYS     PIX      X      PHB     PHB     14-27,42-55     1
GPU6    SYS     SYS     SYS     SYS     PHB     PHB      X      PIX     14-27,42-55     1
GPU7    SYS     SYS     SYS     SYS     PHB     PHB     PIX      X      14-27,42-55     1

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
==============================
LD_LIBRARY_PATH=/data/lijinghui/cuda-12.8/lib64
CUDA_HOME=/data/lijinghui/cuda-12.8
CUDA_HOME=/data/lijinghui/cuda-12.8
PYTORCH_NVML_BASED_CUDA_CHECK=1
TORCHINDUCTOR_COMPILE_THREADS=1
TORCHINDUCTOR_CACHE_DIR=/tmp/torchinductor_mosh

---

ImportError: /lib/x86_64-linux-gnu/libc.so.6: version `GLIBC_2.34' not found
RAW_BUFFERClick to expand / collapse

Your current environment

<details> <summary>The output of <code>python collect_env.py</code></summary>
==============================
        System Info
==============================
OS                           : Ubuntu 20.04.6 LTS (x86_64)
GCC version                  : (Ubuntu 10.5.0-1ubuntu1~20.04) 10.5.0
Clang version                : Could not collect
CMake version                : version 4.3.2
Libc version                 : glibc-2.31

==============================
       PyTorch Info
==============================
PyTorch version              : 2.11.0+cu129
Is debug build               : False
CUDA used to build PyTorch   : 12.9
ROCM used to build PyTorch   : N/A

==============================
      Python Environment
==============================
Python version               : 3.13.6 (main, Aug 14 2025, 16:23:12) [Clang 20.1.4 ] (64-bit runtime)
Python platform              : Linux-5.4.0-100-generic-x86_64-with-glibc2.31

==============================
       CUDA / GPU Info
==============================
Is CUDA available            : True
CUDA runtime version         : 12.8.93
CUDA_MODULE_LOADING set to   : 
GPU models and configuration : 
GPU 0: NVIDIA GeForce RTX 3090
GPU 1: NVIDIA GeForce RTX 3090
GPU 2: NVIDIA GeForce RTX 3090
GPU 3: NVIDIA GeForce RTX 3090
GPU 4: NVIDIA GeForce RTX 3090
GPU 5: NVIDIA GeForce RTX 3090
GPU 6: NVIDIA GeForce RTX 3090
GPU 7: NVIDIA GeForce RTX 3090

Nvidia driver version        : 530.30.02
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
Byte Order:                      Little Endian
Address sizes:                   46 bits physical, 48 bits virtual
CPU(s):                          56
On-line CPU(s) list:             0-55
Thread(s) per core:              2
Core(s) per socket:              14
Socket(s):                       2
NUMA node(s):                    2
Vendor ID:                       GenuineIntel
CPU family:                      6
Model:                           79
Model name:                      Intel(R) Xeon(R) CPU E5-2680 v4 @ 2.40GHz
Stepping:                        1
CPU MHz:                         1199.989
CPU max MHz:                     3300.0000
CPU min MHz:                     1200.0000
BogoMIPS:                        4799.87
Virtualization:                  VT-x
L1d cache:                       896 KiB
L1i cache:                       896 KiB
L2 cache:                        7 MiB
L3 cache:                        70 MiB
NUMA node0 CPU(s):               0-13,28-41
NUMA node1 CPU(s):               14-27,42-55
Vulnerability Itlb multihit:     KVM: Mitigation: Split huge pages
Vulnerability L1tf:              Mitigation; PTE Inversion; VMX conditional cache flushes, SMT vulnerable
Vulnerability Mds:               Mitigation; Clear CPU buffers; SMT vulnerable
Vulnerability Meltdown:          Mitigation; PTI
Vulnerability Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl and seccomp
Vulnerability Spectre v1:        Mitigation; usercopy/swapgs barriers and __user pointer sanitization
Vulnerability Spectre v2:        Mitigation; Full generic retpoline, IBPB conditional, IBRS_FW, STIBP conditional, RSB filling
Vulnerability Srbds:             Not affected
Vulnerability Tsx async abort:   Mitigation; Clear CPU buffers; SMT vulnerable
Flags:                           fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf pni pclmulqdq dtes64 monitor ds_cpl vmx smx est tm2 ssse3 sdbg fma cx16 xtpr pdcm pcid dca sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch cpuid_fault epb cat_l3 cdp_l3 invpcid_single pti intel_ppin ssbd ibrs ibpb stibp tpr_shadow vnmi flexpriority ept vpid ept_ad fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm cqm rdt_a rdseed adx smap intel_pt xsaveopt cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local dtherm ida arat pln pts md_clear flush_l1d

==============================
Versions of relevant libraries
==============================
[pip3] numpy==2.4.4
[pip3] nvidia-cublas-cu12==12.9.1.4
[pip3] nvidia-cuda-cupti-cu12==12.9.79
[pip3] nvidia-cuda-nvrtc-cu12==12.9.86
[pip3] nvidia-cuda-runtime-cu12==12.9.79
[pip3] nvidia-cudnn-cu12==9.17.1.4
[pip3] nvidia-cudnn-frontend==1.18.0
[pip3] nvidia-cufft-cu12==11.4.1.4
[pip3] nvidia-cufile-cu12==1.14.1.1
[pip3] nvidia-curand-cu12==10.3.10.19
[pip3] nvidia-cusolver-cu12==11.7.5.82
[pip3] nvidia-cusparse-cu12==12.5.10.65
[pip3] nvidia-cusparselt-cu12==0.7.1
[pip3] nvidia-cutlass-dsl==4.4.2
[pip3] nvidia-cutlass-dsl-libs-base==4.4.2
[pip3] nvidia-ml-py==13.595.45
[pip3] nvidia-nccl-cu12==2.28.9
[pip3] nvidia-nvjitlink-cu12==12.9.86
[pip3] nvidia-nvshmem-cu12==3.4.5
[pip3] nvidia-nvtx-cu12==12.9.79
[pip3] onnx==1.21.0
[pip3] onnxruntime-gpu==1.25.1
[pip3] open_clip_torch==3.3.0
[pip3] pynvml==13.0.1
[pip3] pyzmq==27.1.0
[pip3] sentence-transformers==5.4.1
[pip3] torch==2.11.0+cu129
[pip3] torch_c_dlpack_ext==0.1.5
[pip3] torchaudio==2.11.0
[pip3] torchdata==0.11.0
[pip3] torchtitan==0.2.2
[pip3] torchvision==0.26.0+cu129
[pip3] transformers==5.6.2
[pip3] triton==3.6.0
[conda] Could not collect

==============================
         vLLM Info
==============================
ROCM Version                 : Could not collect
Neuron SDK Version           : N/A
vLLM Version                 : 0.20.0
vLLM Build Flags:
  CUDA Archs: Not Set; ROCm: Disabled; Neuron: Disabled
GPU Topology:
        GPU0    GPU1    GPU2    GPU3    GPU4    GPU5    GPU6    GPU7    CPU Affinity    NUMA Affinity
GPU0     X      PIX     PHB     PHB     SYS     SYS     SYS     SYS     0-13,28-41      0
GPU1    PIX      X      PHB     PHB     SYS     SYS     SYS     SYS     0-13,28-41      0
GPU2    PHB     PHB      X      PIX     SYS     SYS     SYS     SYS     0-13,28-41      0
GPU3    PHB     PHB     PIX      X      SYS     SYS     SYS     SYS     0-13,28-41      0
GPU4    SYS     SYS     SYS     SYS      X      PIX     PHB     PHB     14-27,42-55     1
GPU5    SYS     SYS     SYS     SYS     PIX      X      PHB     PHB     14-27,42-55     1
GPU6    SYS     SYS     SYS     SYS     PHB     PHB      X      PIX     14-27,42-55     1
GPU7    SYS     SYS     SYS     SYS     PHB     PHB     PIX      X      14-27,42-55     1

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
==============================
LD_LIBRARY_PATH=/data/lijinghui/cuda-12.8/lib64
CUDA_HOME=/data/lijinghui/cuda-12.8
CUDA_HOME=/data/lijinghui/cuda-12.8
PYTORCH_NVML_BASED_CUDA_CHECK=1
TORCHINDUCTOR_COMPILE_THREADS=1
TORCHINDUCTOR_CACHE_DIR=/tmp/torchinductor_mosh
</details>

🐛 Describe the bug

I still encountered a glibc import error after installing the manylinux_2_31 wheel.

ImportError: /lib/x86_64-linux-gnu/libc.so.6: version `GLIBC_2.34' not found

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extent analysis

TL;DR

The issue is likely due to a mismatch between the glibc version required by the installed wheel and the version available on the system, and installing the manylinux_2_34 wheel or upgrading the system's glibc version may resolve the issue.

Guidance

  • The error message indicates that the installed wheel requires glibc version 2.34, but the system only has version 2.31.
  • Check if a manylinux_2_34 wheel is available for the package and install it if possible.
  • If no compatible wheel is available, consider upgrading the system's glibc version to 2.34 or higher.
  • Verify that the LD_LIBRARY_PATH environment variable is set correctly and includes the path to the glibc library.

Example

No code snippet is provided as this issue is related to library versions and system configuration.

Notes

The issue is specific to the system's glibc version and the version required by the installed wheel. Upgrading the system's glibc version or installing a compatible wheel should resolve the issue.

Recommendation

Apply workaround by installing the manylinux_2_34 wheel if available, or upgrade the system's glibc version to 2.34 or higher, as this should resolve the version mismatch issue.

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