NVIDIA Quadro K1100M vs NVIDIA Tesla V100 FHHL

VS

NVIDIA Quadro K1100M

NVIDIA Tesla V100 FHHL

We compared two Professional market GPUs: 2GB VRAM Quadro K1100M 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 K1100M 's Advantages

Lower TDP (45W vs 250W)

NVIDIA Tesla V100 FHHL 's Advantages

Released 4 years and 8 months late

Boost Clock1290MHz

More VRAM (16GB vs 2GB)

Larger VRAM bandwidth (829.4GB/s vs 44.80GB/s)

4736 additional rendering cores

Score

Benchmark

FP32 (float)

Quadro K1100M

0.542 TFLOPS

Tesla V100 FHHL +2337%

13.21 TFLOPS

Quadro K1100M

VS

Tesla V100 FHHL

Graphics Card

Jul 2013

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

700 MHz

Memory Clock

810 MHz

Memory

2GB

Memory Size

16GB

GDDR5

Memory Type

HBM2

128bit

Memory Bus

4096bit

44.80GB/s

Bandwidth

829.4GB/s

Render Config

-

SM Count

80

384

Shading Units

5120

32

TMUs

320

16

ROPs

128

-

Tensor Cores

640

-

16 KB (per SMX)

L1 Cache

128 KB (per SM)

256 KB

L2 Cache

6 MB

-

Theoretical Performance

5.648 GPixel/s

Pixel Rate

165.1 GPixel/s

22.59 GTexel/s

Texture Rate

412.8 GTexel/s

-

FP16 (half)

26.42 TFLOPS

542.2 GFLOPS

FP32 (float)

13.21 TFLOPS

22.59 GFLOPS

FP64 (double)

6.605 TFLOPS

Board Design

45W

TDP

250W

-

Suggested PSU

600 W

No outputs

Outputs

No outputs

-

Power Connectors

1x 8-pin

Graphics Processor

GK107

GPU Name

GV100

-

Kepler

Architecture

Volta

TSMC

Foundry

TSMC

28 nm

Process Size

12 nm

1.27 billion

Transistors

21.1 billion

118 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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