NVIDIA GRID K220Q vs NVIDIA Tesla V100 SXM2 16 GB

VS

NVIDIA GRID K220Q

NVIDIA Tesla V100 SXM2 16 GB

We compared two Professional market GPUs: 512MB VRAM GRID K220Q and 16GB VRAM Tesla V100 SXM2 16 GB to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA GRID K220Q 's Advantages

Lower TDP (225W vs 250W)

NVIDIA Tesla V100 SXM2 16 GB 's Advantages

Released 5 years and 4 months late

Boost Clock1597MHz

More VRAM (16GB vs 512GB)

Larger VRAM bandwidth (1133GB/s vs 160.0GB/s)

3584 additional rendering cores

Score

Benchmark

FP32 (float)

GRID K220Q

2.289 TFLOPS

Tesla V100 SXM2 16 GB +614%

16.35 TFLOPS

Blender

GRID K220Q

168

Tesla V100 SXM2 16 GB +1347%

2432

GRID K220Q

VS

Tesla V100 SXM2 16 GB

Graphics Card

Jul 2014

Release Date

Nov 2019

GRID

Generation

Tesla

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

-

Base Clock

1245 MHz

-

Boost Clock

1597 MHz

1250 MHz

Memory Clock

1106 MHz

Memory

512MB

Memory Size

16GB

GDDR5

Memory Type

HBM2

256bit

Memory Bus

4096bit

160.0GB/s

Bandwidth

1133GB/s

Render Config

-

SM Count

80

1536

Shading Units

5120

128

TMUs

320

32

ROPs

128

-

Tensor Cores

640

-

16 KB (per SMX)

L1 Cache

128 KB (per SM)

512 KB

L2 Cache

6 MB

-

Theoretical Performance

23.84 GPixel/s

Pixel Rate

204.4 GPixel/s

95.36 GTexel/s

Texture Rate

511.0 GTexel/s

-

FP16 (half)

32.71 TFLOPS

2.289 TFLOPS

FP32 (float)

16.35 TFLOPS

95.36 GFLOPS

FP64 (double)

8.177 TFLOPS

Board Design

225W

TDP

250W

550 W

Suggested PSU

600 W

No outputs

Outputs

No outputs

-

Power Connectors

None

Graphics Processor

GK104

GPU Name

GV100

-

Kepler

Architecture

Volta

TSMC

Foundry

TSMC

28 nm

Process Size

12 nm

3.54 billion

Transistors

21.1 billion

294 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

3.0

CUDA

7.0

5.1

Shader Model

6.6

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