NVIDIA Tesla X2090 vs NVIDIA Tesla V100 DGXS 16 GB

VS

NVIDIA Tesla X2090

NVIDIA Tesla V100 DGXS 16 GB

We compared two Professional market GPUs: 6GB VRAM Tesla X2090 and 16GB VRAM Tesla V100 DGXS 16 GB 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 Tesla V100 DGXS 16 GB 's Advantages

Released 6 years and 8 months late

Boost Clock1530MHz

More VRAM (16GB vs 6GB)

Larger VRAM bandwidth (897.0GB/s vs 177.4GB/s)

4608 additional rendering cores

Score

Benchmark

FP32 (float)

Tesla X2090

1.332 TFLOPS

Tesla V100 DGXS 16 GB +1076%

15.67 TFLOPS

Tesla X2090

VS

Tesla V100 DGXS 16 GB

Graphics Card

Jul 2011

Release Date

Mar 2018

Tesla

Generation

Tesla

Professional

Type

Professional

PCIe 2.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

-

Base Clock

1327 MHz

-

Boost Clock

1530 MHz

924 MHz

Memory Clock

876 MHz

Memory

6GB

Memory Size

16GB

GDDR5

Memory Type

HBM2

384bit

Memory Bus

4096bit

177.4GB/s

Bandwidth

897.0GB/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

195.8 GPixel/s

41.66 GTexel/s

Texture Rate

489.6 GTexel/s

-

FP16 (half)

31.33 TFLOPS

1332 GFLOPS

FP32 (float)

15.67 TFLOPS

666.1 GFLOPS

FP64 (double)

7.834 TFLOPS

Board Design

225W

TDP

250W

550 W

Suggested PSU

600 W

No outputs

Outputs

No outputs

-

Power Connectors

None

Graphics Processor

GF110

GPU Name

GV100

-

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

6.6

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