NVIDIA Tesla V100 DGXS 16 GB vs NVIDIA Tesla M2090

VS

NVIDIA Tesla V100 DGXS 16 GB

NVIDIA Tesla M2090

We compared two Professional market GPUs: 16GB VRAM Tesla V100 DGXS 16 GB and 6GB VRAM Tesla M2090 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

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 V100 DGXS 16 GB +1076%

15.67 TFLOPS

Tesla M2090

1.332 TFLOPS

Tesla V100 DGXS 16 GB

VS

Tesla M2090

Graphics Card

Mar 2018

Release Date

Jul 2011

Tesla

Generation

Tesla

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

PCIe 2.0 x16

Clock Speeds

1327 MHz

Base Clock

-

1530 MHz

Boost Clock

-

876 MHz

Memory Clock

924 MHz

Memory

16GB

Memory Size

6GB

HBM2

Memory Type

GDDR5

4096bit

Memory Bus

384bit

897.0GB/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

195.8 GPixel/s

Pixel Rate

20.83 GPixel/s

489.6 GTexel/s

Texture Rate

41.66 GTexel/s

31.33 TFLOPS

FP16 (half)

-

15.67 TFLOPS

FP32 (float)

1332 GFLOPS

7.834 TFLOPS

FP64 (double)

666.1 GFLOPS

Board Design

250W

TDP

250W

600 W

Suggested PSU

600 W

No outputs

Outputs

No outputs

None

Power Connectors

1x 6-pin + 1x 8-pin

Graphics Processor

GV100

GPU Name

GF110

-

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

6.6

Shader Model

5.1

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