Home GPU Comparison NVIDIA Tesla V100S PCIe 32 GB vs NVIDIA H800 SXM5

NVIDIA Tesla V100S PCIe 32 GB vs NVIDIA H800 SXM5

AI GPU We compared a Professional market GPU: 32GB VRAM Tesla V100S PCIe 32 GB and a GPU: 80GB VRAM H800 SXM5 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla V100S PCIe 32 GB 's Advantages
Lower TDP (250W vs 700W)
NVIDIA H800 SXM5 's Advantages
Released 3 years and 4 months late
Boost Clock has increased by 10% (1755MHz vs 1597MHz)
More VRAM (80GB vs 32GB)
Larger VRAM bandwidth (1681GB/s vs 1133GB/s)
11776 additional rendering cores

Score

Benchmark

FP32 (float)
Tesla V100S PCIe 32 GB
16.35 TFLOPS
H800 SXM5 +262%
59.3 TFLOPS
VS

Graphics Card

Nov 2019
Release Date
Mar 2023
Tesla
Generation
Tesla Hopper
Professional
Type
AI GPU
PCIe 3.0 x16
Bus Interface
PCIe 5.0 x16

Clock Speeds

1245 MHz
Base Clock
1095 MHz
1597 MHz
Boost Clock
1755 MHz
1106 MHz
Memory Clock
1313 MHz

Memory

32GB
Memory Size
80GB
HBM2
Memory Type
HBM3
4096bit
Memory Bus
5120bit
1133GB/s
Bandwidth
1681GB/s

Render Config

80
SM Count
132
-
Compute Units
-
5120
Shading Units
16896
320
TMUs
528
128
ROPs
24
640
Tensor Cores
528
-
RT Cores
-
128 KB (per SM)
L1 Cache
256 KB (per SM)
6 MB
L2 Cache
50 MB

Theoretical Performance

204.4 GPixel/s
Pixel Rate
42.12 GPixel/s
511.0 GTexel/s
Texture Rate
926.6 GTexel/s
32.71 TFLOPS
FP16 (half)
237.2 TFLOPS
16.35 TFLOPS
FP32 (float)
59.30 TFLOPS
8.177 TFLOPS
FP64 (double)
29.65 TFLOPS

Graphics Processor

GV100
GPU Name
GH100
-
GPU Variant
-
Volta
Architecture
Hopper
TSMC
Foundry
TSMC
12 nm
Process Size
4 nm
21.1 billion
Transistors
80 billion
815 mm²
Die Size
814 mm²

Board Design

250W
TDP
700W
600 W
Suggested PSU
1100 W
No outputs
Outputs
No outputs
2x 8-pin
Power Connectors
8-pin EPS

Graphics Features

12 (12_1)
DirectX
N/A
4.6
OpenGL
N/A
3.0
OpenCL
3.0
1.3
Vulkan
N/A
7.0
CUDA
9.0
6.6
Shader Model
N/A

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