Home GPU Comparison NVIDIA Tesla K20s vs NVIDIA Tesla V100 FHHL

NVIDIA Tesla K20s vs NVIDIA Tesla V100 FHHL

We compared two Professional market GPUs: 5GB VRAM Tesla K20s and 16GB VRAM Tesla V100 FHHL to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla K20s 's Advantages
Lower TDP (225W vs 250W)
NVIDIA Tesla V100 FHHL 's Advantages
Released 5 years and 1 months late
Boost Clock1290MHz
More VRAM (16GB vs 5GB)
Larger VRAM bandwidth (829.4GB/s vs 208.0GB/s)
2624 additional rendering cores

Score

Benchmark

FP32 (float)
Tesla K20s
2.87 TFLOPS
Tesla V100 FHHL +360%
13.21 TFLOPS
VS

Graphics Card

Feb 2013
Release Date
Mar 2018
Tesla
Generation
Tesla
Professional
Type
Professional
PCIe 2.0 x16
Bus Interface
PCIe 3.0 x16

Clock Speeds

-
Base Clock
937 MHz
-
Boost Clock
1290 MHz
1300 MHz
Memory Clock
810 MHz

Memory

5GB
Memory Size
16GB
GDDR5
Memory Type
HBM2
320bit
Memory Bus
4096bit
208.0GB/s
Bandwidth
829.4GB/s

Render Config

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

Theoretical Performance

29.90 GPixel/s
Pixel Rate
165.1 GPixel/s
119.6 GTexel/s
Texture Rate
412.8 GTexel/s
-
FP16 (half)
26.42 TFLOPS
2.870 TFLOPS
FP32 (float)
13.21 TFLOPS
956.8 GFLOPS
FP64 (double)
6.605 TFLOPS

Graphics Processor

GK110
GPU Name
GV100
-
GPU Variant
-
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

Board Design

225W
TDP
250W
550 W
Suggested PSU
600 W
No outputs
Outputs
No outputs
-
Power Connectors
1x 8-pin

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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