Intel Data Center GPU Max 1550 vs NVIDIA Tesla M2090

VS

Intel Data Center GPU Max 1550

NVIDIA Tesla M2090

We compared two Professional market GPUs: 128GB VRAM Data Center GPU Max 1550 and 6GB VRAM Tesla M2090 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

Intel Data Center GPU Max 1550 's Advantages

Released 11 years and 6 months late

Boost Clock1600MHz

More VRAM (128GB vs 6GB)

Larger VRAM bandwidth (3277GB/s vs 177.4GB/s)

15872 additional rendering cores

NVIDIA Tesla M2090 's Advantages

Lower TDP (250W vs 600W)

Score

Benchmark

FP32 (float)

Data Center GPU Max 1550 +3836%

52.43 TFLOPS

Tesla M2090

1.332 TFLOPS

Data Center GPU Max 1550

VS

Tesla M2090

Graphics Card

Jan 2023

Release Date

Jul 2011

Data Center GPU

Generation

Tesla

Professional

Type

Professional

PCIe 5.0 x16

Bus Interface

PCIe 2.0 x16

Clock Speeds

900 MHz

Base Clock

-

1600 MHz

Boost Clock

-

1600 MHz

Memory Clock

924 MHz

Memory

128GB

Memory Size

6GB

HBM2e

Memory Type

GDDR5

8192bit

Memory Bus

384bit

3277GB/s

Bandwidth

177.4GB/s

Render Config

-

SM Count

16

16384

Shading Units

512

1024

TMUs

64

0

ROPs

48

1024

Tensor Cores

-

128

RT Cores

-

64 KB (per EU)

L1 Cache

64 KB (per SM)

408 MB

L2 Cache

768 KB

-

Theoretical Performance

0 MPixel/s

Pixel Rate

20.83 GPixel/s

1638 GTexel/s

Texture Rate

41.66 GTexel/s

52.43 TFLOPS

FP16 (half)

-

52.43 TFLOPS

FP32 (float)

1332 GFLOPS

52.43 TFLOPS

FP64 (double)

666.1 GFLOPS

Board Design

600W

TDP

250W

1000 W

Suggested PSU

600 W

No outputs

Outputs

No outputs

-

Power Connectors

1x 6-pin + 1x 8-pin

Graphics Processor

Ponte Vecchio

GPU Name

GF110

-

Generation 12.5

Architecture

Fermi 2.0

Intel

Foundry

TSMC

10 nm

Process Size

40 nm

100 billion

Transistors

3 billion

1280 mm²

Die Size

520 mm²

Graphics Features

12 (12_1)

DirectX

12 (11_0)

4.6

OpenGL

4.6

3.0

OpenCL

1.1

N/A

Vulkan

N/A

-

CUDA

2.0

6.6

Shader Model

5.1

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