NVIDIA Tesla X2090 vs NVIDIA Quadro GV100

VS

NVIDIA Tesla X2090

NVIDIA Quadro GV100

We compared two Professional market GPUs: 6GB VRAM Tesla X2090 and 32GB VRAM Quadro GV100 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla X2090 's Advantages

Lower TDP (225W vs 250W)

NVIDIA Quadro GV100 's Advantages

Released 6 years and 8 months late

Boost Clock1627MHz

More VRAM (32GB vs 6GB)

Larger VRAM bandwidth (868.4GB/s vs 177.4GB/s)

4608 additional rendering cores

Score

Benchmark

FP32 (float)

Tesla X2090

1.332 TFLOPS

Quadro GV100 +1150%

16.66 TFLOPS

Tesla X2090

VS

Quadro GV100

Graphics Card

Jul 2011

Release Date

Mar 2018

Tesla

Generation

Quadro Volta

Professional

Type

Professional

PCIe 2.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

-

Base Clock

1132 MHz

-

Boost Clock

1627 MHz

924 MHz

Memory Clock

848 MHz

Memory

6GB

Memory Size

32GB

GDDR5

Memory Type

HBM2

384bit

Memory Bus

4096bit

177.4GB/s

Bandwidth

868.4GB/s

Render Config

-

16

SM Count

80

512

Shading Units

5120

64

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

20.83 GPixel/s

Pixel Rate

208.3 GPixel/s

41.66 GTexel/s

Texture Rate

520.6 GTexel/s

-

FP16 (half)

33.32 TFLOPS

1332 GFLOPS

FP32 (float)

16.66 TFLOPS

666.1 GFLOPS

FP64 (double)

8.330 TFLOPS

Board Design

225W

TDP

250W

550 W

Suggested PSU

600 W

No outputs

Outputs

4x DisplayPort 1.4a

-

Power Connectors

1x 8-pin

Graphics Processor

GF110

GPU Name

GV100

-

GPU Variant

GV100-875-A1

Fermi 2.0

Architecture

Volta

TSMC

Foundry

TSMC

40 nm

Process Size

12 nm

3 billion

Transistors

21.1 billion

520 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

6.7

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