NVIDIA Quadro K2200 vs NVIDIA Tesla V100 DGXS 32 GB

VS

NVIDIA Quadro K2200

NVIDIA Tesla V100 DGXS 32 GB

We compared two Professional market GPUs: 4GB VRAM Quadro K2200 and 32GB VRAM Tesla V100 DGXS 32 GB to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Quadro K2200 's Advantages

Lower TDP (68W vs 250W)

NVIDIA Tesla V100 DGXS 32 GB 's Advantages

Released 3 years and 8 months late

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

More VRAM (32GB vs 4GB)

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

4480 additional rendering cores

Score

Benchmark

FP32 (float)

Quadro K2200

1.439 TFLOPS

Tesla V100 DGXS 32 GB +988%

15.67 TFLOPS

Quadro K2200

VS

Tesla V100 DGXS 32 GB

Graphics Card

Jul 2014

Release Date

Mar 2018

Quadro

Generation

Tesla

Professional

Type

Professional

PCIe 2.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

1046 MHz

Base Clock

1297 MHz

1124 MHz

Boost Clock

1530 MHz

1253 MHz

Memory Clock

876 MHz

Memory

4GB

Memory Size

32GB

GDDR5

Memory Type

HBM2

128bit

Memory Bus

4096bit

80.19GB/s

Bandwidth

897.0GB/s

Render Config

-

SM Count

80

640

Shading Units

5120

40

TMUs

320

16

ROPs

128

-

Tensor Cores

640

-

64 KB (per SMM)

L1 Cache

128 KB (per SM)

2 MB

L2 Cache

6 MB

-

Theoretical Performance

17.98 GPixel/s

Pixel Rate

195.8 GPixel/s

44.96 GTexel/s

Texture Rate

489.6 GTexel/s

-

FP16 (half)

31.33 TFLOPS

1439 GFLOPS

FP32 (float)

15.67 TFLOPS

44.96 GFLOPS

FP64 (double)

7.834 TFLOPS

Board Design

68W

TDP

250W

250 W

Suggested PSU

600 W

1x DVI 2x DisplayPort 1.4a

Outputs

No outputs

None

Power Connectors

None

Graphics Processor

GM107

GPU Name

GV100

-

Maxwell

Architecture

Volta

TSMC

Foundry

TSMC

28 nm

Process Size

12 nm

1.87 billion

Transistors

21.1 billion

148 mm²

Die Size

815 mm²

Graphics Features

12 (11_0)

DirectX

12 (12_1)

4.6

OpenGL

4.6

3.0

OpenCL

3.0

1.3

Vulkan

1.3

5.0

CUDA

7.0

5.1

Shader Model

6.6

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