NVIDIA Quadro 6000 vs NVIDIA Tesla V100 PCIe 32 GB

VS

NVIDIA Quadro 6000

NVIDIA Tesla V100 PCIe 32 GB

We compared two Professional market GPUs: 6GB VRAM Quadro 6000 and 32GB VRAM Tesla V100 PCIe 32 GB to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Quadro 6000 's Advantages

Lower TDP (204W vs 250W)

NVIDIA Tesla V100 PCIe 32 GB 's Advantages

Released 7 years and 3 months late

Boost Clock1380MHz

More VRAM (32GB vs 6GB)

Larger VRAM bandwidth (897.0GB/s vs 143.4GB/s)

4672 additional rendering cores

Score

Benchmark

FP32 (float)

Quadro 6000

1.028 TFLOPS

Tesla V100 PCIe 32 GB +1274%

14.13 TFLOPS

Quadro 6000

VS

Tesla V100 PCIe 32 GB

Graphics Card

Dec 2010

Release Date

Mar 2018

Quadro

Generation

Tesla

Professional

Type

Professional

PCIe 2.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

-

Base Clock

1230 MHz

-

Boost Clock

1380 MHz

747 MHz

Memory Clock

876 MHz

Memory

6GB

Memory Size

32GB

GDDR5

Memory Type

HBM2

384bit

Memory Bus

4096bit

143.4GB/s

Bandwidth

897.0GB/s

Render Config

-

14

SM Count

80

448

Shading Units

5120

56

TMUs

320

48

ROPs

128

-

Tensor Cores

640

-

64 KB (per SM)

L1 Cache

128 KB (per SM)

768 KB

L2 Cache

6 MB

-

Theoretical Performance

16.07 GPixel/s

Pixel Rate

176.6 GPixel/s

32.14 GTexel/s

Texture Rate

441.6 GTexel/s

-

FP16 (half)

28.26 TFLOPS

1028 GFLOPS

FP32 (float)

14.13 TFLOPS

513.9 GFLOPS

FP64 (double)

7.066 TFLOPS

Board Design

204W

TDP

250W

550 W

Suggested PSU

600 W

1x DVI 2x DisplayPort 1x S-Video

Outputs

No outputs

1x 6-pin + 1x 8-pin

Power Connectors

2x 8-pin

Graphics Processor

GF100

GPU Name

GV100

GF100-850-A3

GPU Variant

-

Fermi

Architecture

Volta

TSMC

Foundry

TSMC

40 nm

Process Size

12 nm

3.1 billion

Transistors

21.1 billion

529 mm²

Die Size

815 mm²

Graphics Features

12 (11_0)

DirectX

12 (12_1)

4.6

OpenGL

4.6

1.1

OpenCL

3.0

N/A

Vulkan

1.3

2.0

CUDA

7.0

5.1

Shader Model

6.6

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