NVIDIA Tesla V100 DGXS 16 GB vs NVIDIA Quadro K2200

VS

NVIDIA Tesla V100 DGXS 16 GB

NVIDIA Quadro K2200

We compared two Professional market GPUs: 16GB VRAM Tesla V100 DGXS 16 GB and 4GB VRAM Quadro K2200 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla V100 DGXS 16 GB 's Advantages

Released 3 years and 8 months late

Boost Clock has increased by 36% (1530MHz vs 1124MHz)

More VRAM (16GB vs 4GB)

Larger VRAM bandwidth (897.0GB/s vs 80.19GB/s)

4480 additional rendering cores

NVIDIA Quadro K2200 's Advantages

Lower TDP (68W vs 250W)

Score

Benchmark

FP32 (float)

Tesla V100 DGXS 16 GB +988%

15.67 TFLOPS

Quadro K2200

1.439 TFLOPS

Tesla V100 DGXS 16 GB

VS

Quadro K2200

Graphics Card

Mar 2018

Release Date

Jul 2014

Tesla

Generation

Quadro

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

PCIe 2.0 x16

Clock Speeds

1327 MHz

Base Clock

1046 MHz

1530 MHz

Boost Clock

1124 MHz

876 MHz

Memory Clock

1253 MHz

Memory

16GB

Memory Size

4GB

HBM2

Memory Type

GDDR5

4096bit

Memory Bus

128bit

897.0GB/s

Bandwidth

80.19GB/s

Render Config

-

80

SM Count

-

5120

Shading Units

640

320

TMUs

40

128

ROPs

16

640

Tensor Cores

-

128 KB (per SM)

L1 Cache

64 KB (per SMM)

6 MB

L2 Cache

2 MB

-

Theoretical Performance

195.8 GPixel/s

Pixel Rate

17.98 GPixel/s

489.6 GTexel/s

Texture Rate

44.96 GTexel/s

31.33 TFLOPS

FP16 (half)

-

15.67 TFLOPS

FP32 (float)

1439 GFLOPS

7.834 TFLOPS

FP64 (double)

44.96 GFLOPS

Board Design

250W

TDP

68W

600 W

Suggested PSU

250 W

No outputs

Outputs

1x DVI 2x DisplayPort 1.4a

None

Power Connectors

None

Graphics Processor

GV100

GPU Name

GM107

-

Volta

Architecture

Maxwell

TSMC

Foundry

TSMC

12 nm

Process Size

28 nm

21.1 billion

Transistors

1.87 billion

815 mm²

Die Size

148 mm²

Graphics Features

12 (12_1)

DirectX

12 (11_0)

4.6

OpenGL

4.6

3.0

OpenCL

3.0

1.3

Vulkan

1.3

7.0

CUDA

5.0

6.6

Shader Model

5.1

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