NVIDIA Quadro GV100 vs NVIDIA Tesla X2090

VS

NVIDIA Quadro GV100

NVIDIA Tesla X2090

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

Main Differences

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

NVIDIA Tesla X2090 's Advantages

Lower TDP (225W vs 250W)

Score

Benchmark

FP32 (float)

Quadro GV100 +1150%

16.66 TFLOPS

Tesla X2090

1.332 TFLOPS

Quadro GV100

VS

Tesla X2090

Graphics Card

Mar 2018

Release Date

Jul 2011

Quadro Volta

Generation

Tesla

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

PCIe 2.0 x16

Clock Speeds

1132 MHz

Base Clock

-

1627 MHz

Boost Clock

-

848 MHz

Memory Clock

924 MHz

Memory

32GB

Memory Size

6GB

HBM2

Memory Type

GDDR5

4096bit

Memory Bus

384bit

868.4GB/s

Bandwidth

177.4GB/s

Render Config

-

80

SM Count

16

5120

Shading Units

512

320

TMUs

64

128

ROPs

48

640

Tensor Cores

-

128 KB (per SM)

L1 Cache

64 KB (per SM)

6 MB

L2 Cache

768 KB

-

Theoretical Performance

208.3 GPixel/s

Pixel Rate

20.83 GPixel/s

520.6 GTexel/s

Texture Rate

41.66 GTexel/s

33.32 TFLOPS

FP16 (half)

-

16.66 TFLOPS

FP32 (float)

1332 GFLOPS

8.330 TFLOPS

FP64 (double)

666.1 GFLOPS

Board Design

250W

TDP

225W

600 W

Suggested PSU

550 W

4x DisplayPort 1.4a

Outputs

No outputs

1x 8-pin

Power Connectors

-

Graphics Processor

GV100

GPU Name

GF110

GV100-875-A1

GPU Variant

-

Volta

Architecture

Fermi 2.0

TSMC

Foundry

TSMC

12 nm

Process Size

40 nm

21.1 billion

Transistors

3 billion

815 mm²

Die Size

520 mm²

Graphics Features

12 (12_1)

DirectX

12 (11_0)

4.6

OpenGL

4.6

3.0

OpenCL

1.1

1.3

Vulkan

N/A

7.0

CUDA

2.0

6.7

Shader Model

5.1

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