NVIDIA Quadro K3100M vs NVIDIA Tesla V100 FHHL

VS

NVIDIA Quadro K3100M

NVIDIA Tesla V100 FHHL

We compared two Professional market GPUs: 4GB VRAM Quadro K3100M 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 K3100M 's Advantages

Lower TDP (75W vs 250W)

NVIDIA Tesla V100 FHHL 's Advantages

Released 4 years and 8 months late

Boost Clock1290MHz

More VRAM (16GB vs 4GB)

Larger VRAM bandwidth (829.4GB/s vs 102.4GB/s)

4352 additional rendering cores

Score

Benchmark

FP32 (float)

Quadro K3100M

1.084 TFLOPS

Tesla V100 FHHL +1118%

13.21 TFLOPS

Quadro K3100M

VS

Tesla V100 FHHL

Graphics Card

Jul 2013

Release Date

Mar 2018

Quadro Mobile

Generation

Tesla

Professional

Type

Professional

MXM-B (3.0)

Bus Interface

PCIe 3.0 x16

Clock Speeds

-

Base Clock

937 MHz

-

Boost Clock

1290 MHz

800 MHz

Memory Clock

810 MHz

Memory

4GB

Memory Size

16GB

GDDR5

Memory Type

HBM2

256bit

Memory Bus

4096bit

102.4GB/s

Bandwidth

829.4GB/s

Render Config

-

SM Count

80

768

Shading Units

5120

64

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

11.30 GPixel/s

Pixel Rate

165.1 GPixel/s

45.18 GTexel/s

Texture Rate

412.8 GTexel/s

-

FP16 (half)

26.42 TFLOPS

1084 GFLOPS

FP32 (float)

13.21 TFLOPS

45.18 GFLOPS

FP64 (double)

6.605 TFLOPS

Board Design

75W

TDP

250W

-

Suggested PSU

600 W

No outputs

Outputs

No outputs

-

Power Connectors

1x 8-pin

Graphics Processor

GK104

GPU Name

GV100

N15E-Q1-A2

GPU Variant

-

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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