NVIDIA Tesla M2090 vs NVIDIA Quadro T1000 Max Q

VS

NVIDIA Tesla M2090 NVIDIA Quadro T1000 Max Q

We compared two Professional market GPUs: 6GB VRAM Tesla M2090 and 4GB VRAM Quadro T1000 Max Q to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla M2090 's Advantages

More VRAM (6GB vs 4GB)

Larger VRAM bandwidth (177.4GB/s vs 80.00GB/s)

NVIDIA Quadro T1000 Max Q 's Advantages

Released 7 years and 10 months late

Boost Clock1350MHz

384 additional rendering cores

Lower TDP (50W vs 250W)

Score

Benchmark

FP32 (float)

Tesla M2090

1.332 TFLOPS

Quadro T1000 Max Q +81%

2.419 TFLOPS

Tesla M2090

VS

Quadro T1000 Max Q

Graphics Card

Jul 2011

Release Date

May 2019

Tesla

Generation

Quadro Mobile

Professional

Type

Professional

PCIe 2.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

-

Base Clock

765 MHz

-

Boost Clock

1350 MHz

924 MHz

Memory Clock

1250 MHz

Memory

6GB

Memory Size

4GB

GDDR5

Memory Type

GDDR5

384bit

Memory Bus

128bit

177.4GB/s

Bandwidth

80.00GB/s

Render Config

16

SM Count

14

-

Compute Units

-

512

Shading Units

896

64

TMUs

56

48

ROPs

32

-

Tensor Cores

-

RT Cores

-

64 KB (per SM)

L1 Cache

64 KB (per SM)

768 KB

L2 Cache

1024 KB

Theoretical Performance

20.83 GPixel/s

Pixel Rate

43.20 GPixel/s

41.66 GTexel/s

Texture Rate

75.60 GTexel/s

-

FP16 (half)

4.838 TFLOPS

1332 GFLOPS

FP32 (float)

2.419 TFLOPS

666.1 GFLOPS

FP64 (double)

75.60 GFLOPS

Graphics Processor

GF110

GPU Name

TU117

-

GPU Variant

-

Fermi 2.0

Architecture

Turing

TSMC

Foundry

TSMC

40 nm

Process Size

12 nm

3 billion

Transistors

4.7 billion

520 mm²

Die Size

200 mm²

Board Design

250W

TDP

50W

600 W

Suggested PSU

-

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

7.5

5.1

Shader Model

6.6

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