Home GPU Comparison NVIDIA Tesla K20m vs NVIDIA Tesla PG500 216

NVIDIA Tesla K20m vs NVIDIA Tesla PG500 216

We compared two Professional market GPUs: 5GB VRAM Tesla K20m and 32GB VRAM Tesla PG500 216 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla K20m 's Advantages
Lower TDP (225W vs 250W)
NVIDIA Tesla PG500 216 's Advantages
Released 6 years and 10 months late
Boost Clock1380MHz
More VRAM (32GB vs 5GB)
Larger VRAM bandwidth (1133GB/s vs 208.0GB/s)
2624 additional rendering cores

Score

Benchmark

FP32 (float)
Tesla K20m
3.524 TFLOPS
Tesla PG500 216 +300%
14.13 TFLOPS
VS

Graphics Card

Jan 2013
Release Date
Nov 2019
Tesla
Generation
Tesla
Professional
Type
Professional
PCIe 2.0 x16
Bus Interface
PCIe 3.0 x16

Clock Speeds

-
Base Clock
1260 MHz
-
Boost Clock
1380 MHz
1300 MHz
Memory Clock
1106 MHz

Memory

5GB
Memory Size
32GB
GDDR5
Memory Type
HBM2
320bit
Memory Bus
4096bit
208.0GB/s
Bandwidth
1133GB/s

Render Config

-
-
-
-
SM Count
80
2496
Shading Units
5120
208
TMUs
320
40
ROPs
128
-
Tensor Cores
640
-
-
-
16 KB (per SMX)
L1 Cache
128 KB (per SM)
1280 KB
L2 Cache
6 MB
-
-
-

Theoretical Performance

36.71 GPixel/s
Pixel Rate
176.6 GPixel/s
146.8 GTexel/s
Texture Rate
441.6 GTexel/s
-
FP16 (half)
28.26 TFLOPS
3.524 TFLOPS
FP32 (float)
14.13 TFLOPS
1175 GFLOPS
FP64 (double)
7.066 TFLOPS

Board Design

225W
TDP
250W
550 W
Suggested PSU
600 W
No outputs
Outputs
No outputs
1x 6-pin + 1x 8-pin
Power Connectors
None

Graphics Processor

GK110
GPU Name
GV100
-
-
-
Kepler
Architecture
Volta
TSMC
Foundry
TSMC
28 nm
Process Size
12 nm
7.08 billion
Transistors
21.1 billion
561 mm²
Die Size
815 mm²

Graphics Features

12 (11_0)
DirectX
12 (12_1)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.1
Vulkan
1.3
3.5
CUDA
7.0
5.1
Shader Model
6.6

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