NVIDIA Tesla V100 SXM2 16 GB vs NVIDIA Quadro K5000M

VS

NVIDIA Tesla V100 SXM2 16 GB

NVIDIA Quadro K5000M

We compared two Professional market GPUs: 16GB VRAM Tesla V100 SXM2 16 GB and 4GB VRAM Quadro K5000M to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla V100 SXM2 16 GB 's Advantages

Released 7 years and 3 months late

Boost Clock1597MHz

More VRAM (16GB vs 4GB)

Larger VRAM bandwidth (1133GB/s vs 96.00GB/s)

3776 additional rendering cores

NVIDIA Quadro K5000M 's Advantages

Lower TDP (100W vs 250W)

Score

Benchmark

FP32 (float)

Tesla V100 SXM2 16 GB +912%

16.35 TFLOPS

Quadro K5000M

1.615 TFLOPS

Tesla V100 SXM2 16 GB

VS

Quadro K5000M

Graphics Card

Nov 2019

Release Date

Aug 2012

Tesla

Generation

Quadro Mobile

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

MXM-B (3.0)

Clock Speeds

1245 MHz

Base Clock

-

1597 MHz

Boost Clock

-

1106 MHz

Memory Clock

750 MHz

Memory

16GB

Memory Size

4GB

HBM2

Memory Type

GDDR5

4096bit

Memory Bus

256bit

1133GB/s

Bandwidth

96.00GB/s

Render Config

-

80

SM Count

-

5120

Shading Units

1344

320

TMUs

112

128

ROPs

32

640

Tensor Cores

-

128 KB (per SM)

L1 Cache

16 KB (per SMX)

6 MB

L2 Cache

512 KB

-

Theoretical Performance

204.4 GPixel/s

Pixel Rate

16.83 GPixel/s

511.0 GTexel/s

Texture Rate

67.31 GTexel/s

32.71 TFLOPS

FP16 (half)

-

16.35 TFLOPS

FP32 (float)

1.615 TFLOPS

8.177 TFLOPS

FP64 (double)

67.31 GFLOPS

Board Design

250W

TDP

100W

600 W

Suggested PSU

-

No outputs

Outputs

No outputs

None

Power Connectors

-

Graphics Processor

GV100

GPU Name

GK104

-

GPU Variant

N14E-Q5-A2

Volta

Architecture

Kepler

TSMC

Foundry

TSMC

12 nm

Process Size

28 nm

21.1 billion

Transistors

3.54 billion

815 mm²

Die Size

294 mm²

Graphics Features

12 (12_1)

DirectX

12 (11_0)

4.6

OpenGL

4.6

3.0

OpenCL

3.0

1.3

Vulkan

1.1

7.0

CUDA

3.0

6.6

Shader Model

5.1

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