Nvidia A100
Deep Learning Training Performance with Nvidia A100 and V100 on Dell EMC PowerEdge R7525 Servers
Articles from: Deep Learning Training Performance on Dell EMC PowerEdge R7525 Servers with NVIDIA A100 GPUs
CUDA Basic Linear Algebra
- For FP16, the HGEMM TFLOPs of the NVIDIA A100 GPU is 2.27 times faster than the NVIDIA V100S GPU.
- For FP32, the SGEMM TFLOPs of the NVIDIA A100 GPU is 1.3 times faster than the NVIDIA V100S GPU.
- For TF32, performance improvement is expected without code changes for deep learning applications on the new NVIDIA A100 GPUs. This expectation is because math operations are run on NVIDIA A100 Tensor Cores GPUs with the new TF32 precision format. Although TF32 reduces the precision by a small margin, it preserves the range of FP32 and strikes an excellent balance between speed and accuracy. Matrix multiplication gained a sizable boost from 13.4 TFLOPS (FP32 on the NVIDIA V100S GPU) to 86.5 TFLOPS (TF32 on the NVIDIA A100 GPU).
MLPerf Training v0.7 ResNet-50
Both runs using two NVIDIA A100 GPUs and two NVIDIA V100S GPUs converged at the 40th epoch. The NVIDIA A100 run took 166 minutes to converge, which is 1.8 times faster than the NVIDIA V100S run. Regarding throughput, two NVIDIA A100 GPUs can process 5240 images per second, which is also 1.8 times faster than the two NVIDIA V100S GPUs.
HPC Application Performance with Nvidia V100 versus A100 on Dell PowerEdge R7525 Servers
Articles Taken from: HPC Application Performance on Dell PowerEdge R7525 Servers with NVIDIA A100 GPGPUs
Difference between Nvidia A100 GPGPU versus Nvidia V100s GPGPU
NVIDIA A100 GPGPU | NVIDIA V100S GPGPU | |||
Form factor | SXM4 | PCIe Gen4 | SXM2 | PCIe Gen3 |
GPU architecture | Ampere | Volta | ||
Memory size | 40 GB | 40 GB | 32 GB | 32 GB |
CUDA cores | 6912 | 5120 | ||
Base clock | 1095 MHz | 765 MHz | 1290 MHz | 1245 MHz |
Boost clock | 1410 MHz | 1530 MHz | 1597 MHz | |
Memory clock | 1215 MHz | 877 MHz | 1107 MHz | |
MIG support | Yes | No | ||
Peak memory bandwidth | Up to 1555 GB/s | Up to 900 GB/s | Up to 1134 GB/s | |
Total board power | 400 W | 250 W | 300 W | 250 W |
Benchmark Results (In Summary)
HPL performance comparison for the PowerEdge R7525 server with either NVIDIA A100 or NVIDIA V100S GPGPUs
HPCG performs at a rate 70 percent higher with the NVIDIA A100 GPGPU due to higher memory bandwidth
HPCG performs at a rate 70 percent higher with the NVIDIA A100 GPGPU due to higher memory bandwidth