NVIDIA Tesla M2090 vs NVIDIA Tesla V100 SXM2 16 GB

VS

NVIDIA Tesla M2090 NVIDIA Tesla V100 SXM2 16 GB

We compared two Professional market GPUs: 6GB VRAM Tesla M2090 and 16GB VRAM Tesla V100 SXM2 16 GB to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla V100 SXM2 16 GB 's Advantages

Released 8 years and 4 months late

Boost Clock1597MHz

More VRAM (16GB vs 6GB)

Larger VRAM bandwidth (1133GB/s vs 177.4GB/s)

4608 additional rendering cores

Score

Benchmark

FP32 (float)

Tesla M2090

1.332 TFLOPS

Tesla V100 SXM2 16 GB +1127%

16.35 TFLOPS

Tesla M2090

VS

Tesla V100 SXM2 16 GB

Graphics Card

Jul 2011

Release Date

Nov 2019

Tesla

Generation

Tesla

Professional

Type

Professional

PCIe 2.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

-

Base Clock

1245 MHz

-

Boost Clock

1597 MHz

924 MHz

Memory Clock

1106 MHz

Memory

6GB

Memory Size

16GB

GDDR5

Memory Type

HBM2

384bit

Memory Bus

4096bit

177.4GB/s

Bandwidth

1133GB/s

Render Config

16

SM Count

80

-

Compute Units

-

512

Shading Units

5120

64

TMUs

320

48

ROPs

128

-

Tensor Cores

640

-

RT Cores

-

64 KB (per SM)

L1 Cache

128 KB (per SM)

768 KB

L2 Cache

6 MB

Theoretical Performance

20.83 GPixel/s

Pixel Rate

204.4 GPixel/s

41.66 GTexel/s

Texture Rate

511.0 GTexel/s

-

FP16 (half)

32.71 TFLOPS

1332 GFLOPS

FP32 (float)

16.35 TFLOPS

666.1 GFLOPS

FP64 (double)

8.177 TFLOPS

Graphics Processor

GF110

GPU Name

GV100

-

GPU Variant

-

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

Board Design

250W

TDP

250W

600 W

Suggested PSU

600 W

No outputs

Outputs

No outputs

1x 6-pin + 1x 8-pin

Power Connectors

None

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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