NVIDIA GRID K520Q vs NVIDIA Tesla V100 DGXS 32 GB

VS

NVIDIA GRID K520Q

NVIDIA Tesla V100 DGXS 32 GB

We compared two Professional market GPUs: 4GB VRAM GRID K520Q and 32GB VRAM Tesla V100 DGXS 32 GB to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA GRID K520Q 's Advantages

Lower TDP (225W vs 250W)

NVIDIA Tesla V100 DGXS 32 GB 's Advantages

Released 3 years and 8 months late

Boost Clock1530MHz

More VRAM (32GB vs 4GB)

Larger VRAM bandwidth (897.0GB/s vs 160.0GB/s)

3584 additional rendering cores

Score

Benchmark

FP32 (float)

GRID K520Q

2.289 TFLOPS

Tesla V100 DGXS 32 GB +584%

15.67 TFLOPS

GRID K520Q

VS

Tesla V100 DGXS 32 GB

Graphics Card

Jul 2014

Release Date

Mar 2018

GRID

Generation

Tesla

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

-

Base Clock

1297 MHz

-

Boost Clock

1530 MHz

1250 MHz

Memory Clock

876 MHz

Memory

4GB

Memory Size

32GB

GDDR5

Memory Type

HBM2

256bit

Memory Bus

4096bit

160.0GB/s

Bandwidth

897.0GB/s

Render Config

-

SM Count

80

1536

Shading Units

5120

128

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

23.84 GPixel/s

Pixel Rate

195.8 GPixel/s

95.36 GTexel/s

Texture Rate

489.6 GTexel/s

-

FP16 (half)

31.33 TFLOPS

2.289 TFLOPS

FP32 (float)

15.67 TFLOPS

95.36 GFLOPS

FP64 (double)

7.834 TFLOPS

Board Design

225W

TDP

250W

550 W

Suggested PSU

600 W

No outputs

Outputs

No outputs

-

Power Connectors

None

Graphics Processor

GK104

GPU Name

GV100

-

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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