NVIDIA Tesla V100 SXM2 16 GB vs NVIDIA Quadro 400

VS

NVIDIA Tesla V100 SXM2 16 GB

NVIDIA Quadro 400

We compared two Professional market GPUs: 16GB VRAM Tesla V100 SXM2 16 GB and 512MB VRAM Quadro 400 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 8 years and 7 months late

Boost Clock1597MHz

More VRAM (16GB vs 512GB)

Larger VRAM bandwidth (1133GB/s vs 12.32GB/s)

5072 additional rendering cores

NVIDIA Quadro 400 's Advantages

Lower TDP (32W vs 250W)

Score

Benchmark

FP32 (float)

Tesla V100 SXM2 16 GB +15038%

16.35 TFLOPS

Quadro 400

0.108 TFLOPS

Tesla V100 SXM2 16 GB

VS

Quadro 400

Graphics Card

Nov 2019

Release Date

Apr 2011

Tesla

Generation

Quadro

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

PCIe 2.0 x16

Clock Speeds

1245 MHz

Base Clock

-

1597 MHz

Boost Clock

-

1106 MHz

Memory Clock

770 MHz

Memory

16GB

Memory Size

512MB

HBM2

Memory Type

DDR3

4096bit

Memory Bus

64bit

1133GB/s

Bandwidth

12.32GB/s

Render Config

-

80

SM Count

6

5120

Shading Units

48

320

TMUs

16

128

ROPs

8

640

Tensor Cores

-

128 KB (per SM)

L1 Cache

-

6 MB

L2 Cache

32 KB

-

Theoretical Performance

204.4 GPixel/s

Pixel Rate

3.600 GPixel/s

511.0 GTexel/s

Texture Rate

7.200 GTexel/s

32.71 TFLOPS

FP16 (half)

-

16.35 TFLOPS

FP32 (float)

108.0 GFLOPS

8.177 TFLOPS

FP64 (double)

-

Board Design

250W

TDP

32W

600 W

Suggested PSU

200 W

No outputs

Outputs

1x DVI 1x DisplayPort

None

Power Connectors

None

Graphics Processor

GV100

GPU Name

GT216

-

GPU Variant

GT216 GL

Volta

Architecture

Tesla 2.0

TSMC

Foundry

TSMC

12 nm

Process Size

40 nm

21.1 billion

Transistors

0.486 billion

815 mm²

Die Size

100 mm²

Graphics Features

12 (12_1)

DirectX

11.1 (10_1)

4.6

OpenGL

3.3

3.0

OpenCL

1.1

1.3

Vulkan

N/A

7.0

CUDA

1.2

6.6

Shader Model

4.1

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