Home GPU Comparison NVIDIA Tesla PG500 216 vs NVIDIA H100 CNX

NVIDIA Tesla PG500 216 vs NVIDIA H100 CNX

AI GPU We compared a Professional market GPU: 32GB VRAM Tesla PG500 216 and a GPU: 80GB VRAM H100 CNX to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla PG500 216 's Advantages
Lower TDP (250W vs 350W)
NVIDIA H100 CNX 's Advantages
Released 3 years and 4 months late
Boost Clock has increased by 34% (1845MHz vs 1380MHz)
More VRAM (80GB vs 32GB)
Larger VRAM bandwidth (2039GB/s vs 1133GB/s)
9472 additional rendering cores

Score

Benchmark

FP32 (float)
Tesla PG500 216
14.13 TFLOPS
H100 CNX +281%
53.84 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

1260 MHz
Base Clock
690 MHz
1380 MHz
Boost Clock
1845 MHz
1106 MHz
Memory Clock
1593 MHz

Memory

32GB
Memory Size
80GB
HBM2
Memory Type
HBM2e
4096bit
Memory Bus
5120bit
1133GB/s
Bandwidth
2039GB/s

Render Config

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

Theoretical Performance

176.6 GPixel/s
Pixel Rate
44.28 GPixel/s
441.6 GTexel/s
Texture Rate
841.3 GTexel/s
28.26 TFLOPS
FP16 (half)
215.4 TFLOPS
14.13 TFLOPS
FP32 (float)
53.84 TFLOPS
7.066 TFLOPS
FP64 (double)
26.92 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
350W
600 W
Suggested PSU
750 W
No outputs
Outputs
No outputs
None
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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