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...
Compute Capability: 8.0(A100、A30), 8.6(RTX 30x、A40、A16、A10、A2), 8.7(Orin) 算是又一个大版本更新: Ampere 架构 SM 还是先来看下 SM 的结构: 4个 Warp Scheduler,4 个 Dispatch Unit 64 个 FP32 Core(4 * 16) 64 个 INT32 Core(4 * 16) 32 个 FP64 Core(4 * 8) 4个 TensorCore(...
NVIDIA A40 is the world's most powerful data center GPU for visual computing, delivering ray-traced rendering, simulation, virtual production, and more to professionals anytime, anywhere.
SM80 orSM_80, compute_80– NVIDIAA100(“Tesla” 命名从此代开始停用 – GA100), NVIDIA DGX-A100 SM86 orSM_86, compute_86– (CUDA 11.1 onwards) Tesla GA10x cards, RTX Ampere – RTX 3080, GA102 – RTX 3090, RTX A2000, A3000,RTX A4000, A5000,A6000, NVIDIA A40, GA106 –RTX 3060, ...
error"); printf("GPU Name = %s\n", prop.name); printf("Compute Capability = %d.%d\n", ...
NVIDIA A40 NVIDIA Ampere architecture NVIDIA A30 NVIDIA Ampere architecture NVIDA A16 NVIDIA Ampere architecture NVIDIA A10 NVIDIA Ampere architecture Data Center T-Series Products ProductGPU Architecture NVIDIA T4 NVIDIA Turing Data Center V-Series Products ProductGPU Architecture NVIDIA V100 Volta Data Cen...
There is an up to 18% performance drop for the ShuffleNet model on A30/A40 compared to TensorRT 8.5.1. Convolution on a tensor with an implicitly data-dependent shape may run significantly slower than on other tensors of the same size. Refer to the Glossary for the definition of implicitl...
Tesla GA10x cards, RTX Ampere – RTX 3080, GA102 – RTX 3090, RTX A6000, RTX A40 “Devices of compute capability 8.6 have 2x more FP32 operations per cycle per SM than devices of compute capability 8.0. While a binary compiled for 8.0 will run as is on 8.6, it is recommended to co...
GPU Device 0: "Volta" with compute capability 7.0 Average clocks/block = 2820.718750 Copy 9Additional tasks This section introduces additional procedures that may be helpful after you have configured your vGPU. 9.1Disabling Frame Rate Limiter
NVIDIA Ampere GA102 GPU Architecture 5 Introduction to the NVIDIA Ampere GA102 GPU Architecture Finally, the NVIDIA A40 GPU is an evolutionary leap in performance and multi-workload capabilities for the data center, combining best-in-class professional graphics with powerful compute and AI ...