NVIDIA Quadro M5000M vs NVIDIA L40 CNX

VS

NVIDIA Quadro M5000M

NVIDIA L40 CNX

We compared two Professional market GPUs: 8GB VRAM Quadro M5000M and 24GB VRAM L40 CNX to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Quadro M5000M 's Advantages

Lower TDP (100W vs 300W)

NVIDIA L40 CNX 's Advantages

Released 7 years and 2 months late

Boost Clock2475MHz

More VRAM (24GB vs 8GB)

Larger VRAM bandwidth (864.0GB/s vs 160.4GB/s)

16640 additional rendering cores

Score

Benchmark

FP32 (float)

Quadro M5000M

2.995 TFLOPS

L40 CNX +2904%

89.97 TFLOPS

Quadro M5000M

VS

L40 CNX

Graphics Card

Aug 2015

Release Date

Oct 2022

Quadro Mobile

Generation

Tesla Ada

Professional

Type

Professional

MXM-B (3.0)

Bus Interface

PCIe 4.0 x16

Clock Speeds

-

Base Clock

1005 MHz

-

Boost Clock

2475 MHz

1253 MHz

Memory Clock

2250 MHz

Memory

8GB

Memory Size

24GB

GDDR5

Memory Type

GDDR6

256bit

Memory Bus

384bit

160.4GB/s

Bandwidth

864.0GB/s

Render Config

-

SM Count

142

1536

Shading Units

18176

96

TMUs

568

64

ROPs

192

-

Tensor Cores

568

-

RT Cores

142

48 KB (per SMM)

L1 Cache

128 KB (per SM)

2 MB

L2 Cache

48 MB

-

Theoretical Performance

62.40 GPixel/s

Pixel Rate

475.2 GPixel/s

93.60 GTexel/s

Texture Rate

1406 GTexel/s

-

FP16 (half)

89.97 TFLOPS

2.995 TFLOPS

FP32 (float)

89.97 TFLOPS

93.60 GFLOPS

FP64 (double)

1406 GFLOPS

Board Design

100W

TDP

300W

-

Suggested PSU

700 W

No outputs

Outputs

1x HDMI 2.1 3x DisplayPort 1.4a

None

Power Connectors

1x 16-pin

Graphics Processor

GM204

GPU Name

AD102

N16E-Q5-A1

GPU Variant

AD102-???-A1

Maxwell 2.0

Architecture

Ada Lovelace

TSMC

Foundry

TSMC

28 nm

Process Size

4 nm

5.2 billion

Transistors

76.3 billion

398 mm²

Die Size

608 mm²

Graphics Features

12 (12_1)

DirectX

12 Ultimate (12_2)

4.6

OpenGL

4.6

3.0

OpenCL

3.0

1.3

Vulkan

1.3

5.2

CUDA

8.9

6.4

Shader Model

6.6

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