NVIDIA Tesla V100 FHHL vs NVIDIA Tesla K20m

VS

NVIDIA Tesla V100 FHHL NVIDIA Tesla K20m

We compared two Professional market GPUs: 16GB VRAM Tesla V100 FHHL and 5GB VRAM Tesla K20m to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla V100 FHHL 's Advantages

Released 5 years and 2 months late

Boost Clock1290MHz

More VRAM (16GB vs 5GB)

Larger VRAM bandwidth (829.4GB/s vs 208.0GB/s)

2624 additional rendering cores

NVIDIA Tesla K20m 's Advantages

Lower TDP (225W vs 250W)

Score

Benchmark

FP32 (float)

Tesla V100 FHHL +274%

13.21 TFLOPS

Tesla K20m

3.524 TFLOPS

Tesla V100 FHHL

VS

Tesla K20m

Graphics Card

Mar 2018

Release Date

Jan 2013

Tesla

Generation

Tesla

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

PCIe 2.0 x16

Clock Speeds

937 MHz

Base Clock

-

1290 MHz

Boost Clock

-

810 MHz

Memory Clock

1300 MHz

Memory

16GB

Memory Size

5GB

HBM2

Memory Type

GDDR5

4096bit

Memory Bus

320bit

829.4GB/s

Bandwidth

208.0GB/s

Render Config

80

SM Count

-

Compute Units

-

5120

Shading Units

2496

320

TMUs

208

128

ROPs

40

640

Tensor Cores

-

RT Cores

-

128 KB (per SM)

L1 Cache

16 KB (per SMX)

6 MB

L2 Cache

1280 KB

Theoretical Performance

165.1 GPixel/s

Pixel Rate

36.71 GPixel/s

412.8 GTexel/s

Texture Rate

146.8 GTexel/s

26.42 TFLOPS

FP16 (half)

-

13.21 TFLOPS

FP32 (float)

3.524 TFLOPS

6.605 TFLOPS

FP64 (double)

1175 GFLOPS

Graphics Processor

GV100

GPU Name

GK110

-

GPU Variant

-

Volta

Architecture

Kepler

TSMC

Foundry

TSMC

12 nm

Process Size

28 nm

21.1 billion

Transistors

7.08 billion

815 mm²

Die Size

561 mm²

Board Design

250W

TDP

225W

600 W

Suggested PSU

550 W

No outputs

Outputs

No outputs

1x 8-pin

Power Connectors

1x 6-pin + 1x 8-pin

Graphics Features

12 (12_1)

DirectX

12 (11_0)

4.6

OpenGL

4.6

3.0

OpenCL

3.0

1.3

Vulkan

1.1

7.0

CUDA

3.5

6.6

Shader Model

5.1

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