NVIDIA Quadro K2200M vs NVIDIA Tesla V100 FHHL

VS

NVIDIA Quadro K2200M

NVIDIA Tesla V100 FHHL

We compared two Professional market GPUs: 2GB VRAM Quadro K2200M and 16GB VRAM Tesla V100 FHHL to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Quadro K2200M 's Advantages

Lower TDP (65W vs 250W)

NVIDIA Tesla V100 FHHL 's Advantages

Released 3 years and 8 months late

Boost Clock1290MHz

More VRAM (16GB vs 2GB)

Larger VRAM bandwidth (829.4GB/s vs 80.19GB/s)

4480 additional rendering cores

Score

Benchmark

FP32 (float)

Quadro K2200M

0.854 TFLOPS

Tesla V100 FHHL +1446%

13.21 TFLOPS

Quadro K2200M

VS

Tesla V100 FHHL

Graphics Card

Jul 2014

Release Date

Mar 2018

Quadro Mobile

Generation

Tesla

Professional

Type

Professional

MXM-A (3.0)

Bus Interface

PCIe 3.0 x16

Clock Speeds

-

Base Clock

937 MHz

-

Boost Clock

1290 MHz

1253 MHz

Memory Clock

810 MHz

Memory

2GB

Memory Size

16GB

GDDR5

Memory Type

HBM2

128bit

Memory Bus

4096bit

80.19GB/s

Bandwidth

829.4GB/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

10.67 GPixel/s

Pixel Rate

165.1 GPixel/s

26.68 GTexel/s

Texture Rate

412.8 GTexel/s

-

FP16 (half)

26.42 TFLOPS

853.8 GFLOPS

FP32 (float)

13.21 TFLOPS

26.68 GFLOPS

FP64 (double)

6.605 TFLOPS

Board Design

65W

TDP

250W

-

Suggested PSU

600 W

No outputs

Outputs

No outputs

None

Power Connectors

1x 8-pin

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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