NVIDIA Quadro 6000 SDI vs NVIDIA Tesla V100 SXM3 32 GB

VS

NVIDIA Quadro 6000 SDI

NVIDIA Tesla V100 SXM3 32 GB

We compared two Professional market GPUs: 6GB VRAM Quadro 6000 SDI and 32GB VRAM Tesla V100 SXM3 32 GB to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Quadro 6000 SDI 's Advantages

Lower TDP (231W vs 250W)

NVIDIA Tesla V100 SXM3 32 GB 's Advantages

Released 6 years and 8 months late

Boost Clock1530MHz

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 SDI

1.028 TFLOPS

Tesla V100 SXM3 32 GB +1424%

15.67 TFLOPS

Quadro 6000 SDI

VS

Tesla V100 SXM3 32 GB

Graphics Card

Jul 2011

Release Date

Mar 2018

Quadro

Generation

Tesla

Professional

Type

Professional

PCIe 2.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

-

Base Clock

1290 MHz

-

Boost Clock

1530 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

195.8 GPixel/s

32.14 GTexel/s

Texture Rate

489.6 GTexel/s

-

FP16 (half)

31.33 TFLOPS

1028 GFLOPS

FP32 (float)

15.67 TFLOPS

513.9 GFLOPS

FP64 (double)

7.834 TFLOPS

Board Design

231W

TDP

250W

550 W

Suggested PSU

600 W

1x DVI 2x DisplayPort 1x S-Video 2x SDI

Outputs

No outputs

1x 6-pin + 1x 8-pin

Power Connectors

None

Graphics Processor

GF100

GPU Name

GV100

-

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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