首页
学习
活动
专区
圈层
工具
发布
首页
学习
活动
专区
圈层
工具
MCP广场
社区首页 >专栏 >Nvidia A40显卡算力信息

Nvidia A40显卡算力信息

作者头像
云未归来
发布2025-07-21 12:21:40
发布2025-07-21 12:21:40
2230
举报

 CUDA Device Query (Runtime API) version (CUDART static linking) Detected 1 CUDA Capable device(s) Device 0: "NVIDIA A40"   CUDA Driver Version / Runtime Version          12.4 / 12.4   CUDA Capability Major/Minor version number:    8.6   Total amount of global memory:                 48834 MBytes (51206094848 bytes)   (84) Multiprocessors, (128) CUDA Cores/MP:     10752 CUDA Cores   GPU Max Clock rate:                            1740 MHz (1.74 GHz)   Memory Clock rate:                             7251 Mhz   Memory Bus Width:                              384-bit   L2 Cache Size:                                 6291456 bytes   Maximum Texture Dimension Size (x,y,z)         1D=(131072), 2D=(131072, 65536), 3D=(16384, 16384, 16384)   Maximum Layered 1D Texture Size, (num) layers  1D=(32768), 2048 layers   Maximum Layered 2D Texture Size, (num) layers  2D=(32768, 32768), 2048 layers   Total amount of constant memory:               zu bytes   Total amount of shared memory per block:       zu bytes   Total number of registers available per block: 65536   Warp size:                                     32   Maximum number of threads per multiprocessor:  1536   Maximum number of threads per block:           1024   Max dimension size of a thread block (x,y,z): (1024, 1024, 64)   Max dimension size of a grid size    (x,y,z): (2147483647, 65535, 65535)   Maximum memory pitch:                          zu bytes   Texture alignment:                             zu bytes   Concurrent copy and kernel execution:          Yes with 2 copy engine(s)   Run time limit on kernels:                     No   Integrated GPU sharing Host Memory:            No   Support host page-locked memory mapping:       Yes   Alignment requirement for Surfaces:            Yes   Device has ECC support:                        Disabled   CUDA Device Driver Mode (TCC or WDDM):         TCC (Tesla Compute Cluster Driver)   Device supports Unified Addressing (UVA):      Yes   Device supports Compute Preemption:            Yes   Supports Cooperative Kernel Launch:            Yes   Supports MultiDevice Co-op Kernel Launch:      Yes   Device PCI Domain ID / Bus ID / location ID:   0 / 59 / 0   Compute Mode:      < Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) > deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 12.4, CUDA Runtime Version = 12.4, NumDevs = 1, Device0 = NVIDIA A40 Result = PASS

本文参与 腾讯云自媒体同步曝光计划,分享自作者个人站点/博客。
原始发表:2025-07-16,如有侵权请联系 cloudcommunity@tencent.com 删除

本文分享自 作者个人站点/博客 前往查看

如有侵权,请联系 cloudcommunity@tencent.com 删除。

本文参与 腾讯云自媒体同步曝光计划  ,欢迎热爱写作的你一起参与!

评论
登录后参与评论
0 条评论
热度
最新
推荐阅读
领券
问题归档专栏文章快讯文章归档关键词归档开发者手册归档开发者手册 Section 归档