Home GPU Comparison NVIDIA Tesla K20c vs NVIDIA Tesla V100 SXM2 32 GB

NVIDIA Tesla K20c vs NVIDIA Tesla V100 SXM2 32 GB

We compared two Professional market GPUs: 5GB VRAM Tesla K20c and 32GB VRAM Tesla V100 SXM2 32 GB to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla K20c 's Advantages
Lower TDP (225W vs 250W)
NVIDIA Tesla V100 SXM2 32 GB 's Advantages
Released 5 years and 4 months late
Boost Clock1530MHz
More VRAM (32GB vs 5GB)
Larger VRAM bandwidth (897.0GB/s vs 208.0GB/s)
2624 additional rendering cores

Score

Benchmark

FP32 (float)
Tesla K20c
3.524 TFLOPS
Tesla V100 SXM2 32 GB +344%
15.67 TFLOPS
OctaneBench
Tesla K20c
55
Tesla V100 SXM2 32 GB +520%
341
VS

Graphics Card

Nov 2012
Release Date
Mar 2018
Tesla
Generation
Tesla
Professional
Type
Professional
PCIe 2.0 x16
Bus Interface
PCIe 3.0 x16

Clock Speeds

-
Base Clock
1290 MHz
-
Boost Clock
1530 MHz
1300 MHz
Memory Clock
876 MHz

Memory

5GB
Memory Size
32GB
GDDR5
Memory Type
HBM2
320bit
Memory Bus
4096bit
208.0GB/s
Bandwidth
897.0GB/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

36.71 GPixel/s
Pixel Rate
195.8 GPixel/s
146.8 GTexel/s
Texture Rate
489.6 GTexel/s
-
FP16 (half)
31.33 TFLOPS
3.524 TFLOPS
FP32 (float)
15.67 TFLOPS
1175 GFLOPS
FP64 (double)
7.834 TFLOPS

Graphics Processor

GK110
GPU Name
GV100
GK110-885-KA-A1
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
1x 6-pin + 1x 8-pin
Power Connectors
None

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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