NVIDIA Tesla V100 SXM2 16 GB vs NVIDIA GRID K180Q

VS

NVIDIA Tesla V100 SXM2 16 GB

NVIDIA GRID K180Q

We compared two Professional market GPUs: 16GB VRAM Tesla V100 SXM2 16 GB and 1024MB VRAM GRID K180Q 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 6 years and 5 months late

Boost Clock1597MHz

More VRAM (16GB vs 1024GB)

Larger VRAM bandwidth (1133GB/s vs 28.51GB/s)

4928 additional rendering cores

NVIDIA GRID K180Q 's Advantages

Lower TDP (130W vs 250W)

Score

Benchmark

FP32 (float)

Tesla V100 SXM2 16 GB +4915%

16.35 TFLOPS

GRID K180Q

0.326 TFLOPS

Tesla V100 SXM2 16 GB

VS

GRID K180Q

Graphics Card

Nov 2019

Release Date

Jun 2013

Tesla

Generation

GRID

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

1245 MHz

Base Clock

-

1597 MHz

Boost Clock

-

1106 MHz

Memory Clock

891 MHz

Memory

16GB

Memory Size

1024MB

HBM2

Memory Type

DDR3

4096bit

Memory Bus

128bit

1133GB/s

Bandwidth

28.51GB/s

Render Config

-

80

SM Count

-

5120

Shading Units

192

320

TMUs

16

128

ROPs

16

640

Tensor Cores

-

128 KB (per SM)

L1 Cache

16 KB (per SMX)

6 MB

L2 Cache

256 KB

-

Theoretical Performance

204.4 GPixel/s

Pixel Rate

3.400 GPixel/s

511.0 GTexel/s

Texture Rate

13.60 GTexel/s

32.71 TFLOPS

FP16 (half)

-

16.35 TFLOPS

FP32 (float)

326.4 GFLOPS

8.177 TFLOPS

FP64 (double)

13.60 GFLOPS

Board Design

250W

TDP

130W

600 W

Suggested PSU

300 W

No outputs

Outputs

No outputs

None

Power Connectors

-

Graphics Processor

GV100

GPU Name

GK107

-

Volta

Architecture

Kepler

TSMC

Foundry

TSMC

12 nm

Process Size

28 nm

21.1 billion

Transistors

1.27 billion

815 mm²

Die Size

118 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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