Home GPU Comparison NVIDIA H800 PCIe 80 GB vs NVIDIA Tesla V100 DGXS 32 GB

NVIDIA H800 PCIe 80 GB vs NVIDIA Tesla V100 DGXS 32 GB

AI GPU We compared a GPU: 80GB VRAM H800 PCIe 80 GB and a Professional market GPU: 32GB VRAM Tesla V100 DGXS 32 GB to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA H800 PCIe 80 GB 's Advantages
Released 5 years late
Boost Clock has increased by 15% (1755MHz vs 1530MHz)
More VRAM (80GB vs 32GB)
Larger VRAM bandwidth (2039GB/s vs 897.0GB/s)
9472 additional rendering cores
NVIDIA Tesla V100 DGXS 32 GB 's Advantages
Lower TDP (250W vs 350W)

Score

Benchmark

FP32 (float)
H800 PCIe 80 GB +226%
51.22 TFLOPS
Tesla V100 DGXS 32 GB
15.67 TFLOPS
VS

Graphics Card

Mar 2023
Release Date
Mar 2018
Tesla Hopper
Generation
Tesla
AI GPU
Type
Professional
PCIe 5.0 x16
Bus Interface
PCIe 3.0 x16

Clock Speeds

1095 MHz
Base Clock
1297 MHz
1755 MHz
Boost Clock
1530 MHz
1593 MHz
Memory Clock
876 MHz

Memory

80GB
Memory Size
32GB
HBM2e
Memory Type
HBM2
5120bit
Memory Bus
4096bit
2039GB/s
Bandwidth
897.0GB/s

Render Config

114
SM Count
80
-
Compute Units
-
14592
Shading Units
5120
456
TMUs
320
24
ROPs
128
456
Tensor Cores
640
-
RT Cores
-
256 KB (per SM)
L1 Cache
128 KB (per SM)
50 MB
L2 Cache
6 MB

Theoretical Performance

42.12 GPixel/s
Pixel Rate
195.8 GPixel/s
800.3 GTexel/s
Texture Rate
489.6 GTexel/s
204.9 TFLOPS
FP16 (half)
31.33 TFLOPS
51.22 TFLOPS
FP32 (float)
15.67 TFLOPS
25.61 TFLOPS
FP64 (double)
7.834 TFLOPS

Graphics Processor

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

Board Design

350W
TDP
250W
750 W
Suggested PSU
600 W
No outputs
Outputs
No outputs
1x 16-pin
Power Connectors
None

Graphics Features

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

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