NVIDIA Tesla V100 FHHL vs NVIDIA GRID K220Q

VS

NVIDIA Tesla V100 FHHL

NVIDIA GRID K220Q

We compared two Professional market GPUs: 16GB VRAM Tesla V100 FHHL and 512MB VRAM GRID K220Q to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla V100 FHHL 's Advantages

Released 3 years and 8 months late

Boost Clock1290MHz

More VRAM (16GB vs 512GB)

Larger VRAM bandwidth (829.4GB/s vs 160.0GB/s)

3584 additional rendering cores

NVIDIA GRID K220Q 's Advantages

Lower TDP (225W vs 250W)

Score

Benchmark

FP32 (float)

Tesla V100 FHHL +477%

13.21 TFLOPS

GRID K220Q

2.289 TFLOPS

Tesla V100 FHHL

VS

GRID K220Q

Graphics Card

Mar 2018

Release Date

Jul 2014

Tesla

Generation

GRID

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

937 MHz

Base Clock

-

1290 MHz

Boost Clock

-

810 MHz

Memory Clock

1250 MHz

Memory

16GB

Memory Size

512MB

HBM2

Memory Type

GDDR5

4096bit

Memory Bus

256bit

829.4GB/s

Bandwidth

160.0GB/s

Render Config

-

80

SM Count

-

5120

Shading Units

1536

320

TMUs

128

ROPs

32

640

Tensor Cores

-

128 KB (per SM)

L1 Cache

16 KB (per SMX)

6 MB

L2 Cache

512 KB

-

Theoretical Performance

165.1 GPixel/s

Pixel Rate

23.84 GPixel/s

412.8 GTexel/s

Texture Rate

95.36 GTexel/s

26.42 TFLOPS

FP16 (half)

-

13.21 TFLOPS

FP32 (float)

2.289 TFLOPS

6.605 TFLOPS

FP64 (double)

95.36 GFLOPS

Board Design

250W

TDP

225W

600 W

Suggested PSU

550 W

No outputs

Outputs

No outputs

1x 8-pin

Power Connectors

-

Graphics Processor

GV100

GPU Name

GK104

-

Volta

Architecture

Kepler

TSMC

Foundry

TSMC

12 nm

Process Size

28 nm

21.1 billion

Transistors

3.54 billion

815 mm²

Die Size

294 mm²

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

3.0

6.6

Shader Model

5.1

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