NVIDIA A10G vs NVIDIA Tesla V100 SXM2 32 GB
What is the difference between NVIDIA A10G and NVIDIA Tesla V100 SXM2 32 GB. Find out which graphics card has better performance.
Graphics Processor (GPU)
GA102 | GPU Name | GV100 |
Ampere | Architecture | Volta |
Samsung | Foundry | TSMC |
8 nm | Process Size | 12 nm |
28,300 million | Transistors | 21,100 million |
628 mm² | Die Size | 815 mm² |
Graphics Card
Apr 12th, 2021 | Release Date | Mar 27th, 2018 |
Tesla (Axx) | Family | Tesla (Vxx) |
Active | Production | Active |
PCIe 4.0 x16 | Bus Interface | PCIe 3.0 x16 |
Memory
12 GB | Memory Size | 32 GB |
GDDR6 | Memory Type | HBM2 |
384 bit | Memory Bus | 4096 bit |
600.2 GB/s | Bandwidth | 897.0 GB/s |
Performance
164.2 GPixel/s | Pixel fillrate | 195.8 GPixel/s |
492.5 GTexel/s | Texture fillrate | 489.6 GTexel/s |
31.52 TFLOPS (1:1) | FP16 (half) performance | 31.33 TFLOPS (2:1) |
31.52 TFLOPS | FP32 (float) performance | 15.67 TFLOPS |
985.0 GFLOPS (1:32) | FP64 (double) performance | 7.834 TFLOPS (1:2) |
Clock Speeds
1320 MHz | Base Clock | 1290 MHz |
1710 MHz | Boost Clock | 1530 MHz |
1563 MHz 12.5 Gbps effective | Memory Clock | 876 MHz 1752 Mbps effective |
Render Config
9216 | Shading Units | 5120 |
288 | TMUs | 320 |
96 | ROPs | 128 |
128 KB (per SM) | L1 Cache | 128 KB (per SM) |
6 MB | L2 Cache | 6 MB |
72 | SM Count | 80 |
288 | Tensor Cores | 640 |
Board Design
Single-slot | Slot Width | Dual-slot |
150 W | Thermal design power (TDP) | 250 W |
450 W | Suggested PSU | 600 W |
No outputs | Display Connectors | No outputs |
8-pin EPS | Power Connectors | None |
API support
12 Ultimate (12_2) | DirectX | 12 (12_1) |
4.6 | OpenGL | 4.6 |
3.0 | OpenCL | 3.0 |
1.2 | Vulkan | 1.2 |
6.6 | Shader Model | 6.6 |
8.6 | CUDA | 7.0 |