NVIDIA Quadro M6000 24 GB vs NVIDIA L40G

VS

We compared two Professional market GPUs: 24GB VRAM Quadro M6000 24 GB and 24GB VRAM L40G to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Quadro M6000 24 GB 's Advantages

Lower TDP (250W vs 300W)

NVIDIA L40G 's Advantages

Released 6 years and 7 months late

Boost Clock has increased by 122% (2475MHz vs 1114MHz)

Larger VRAM bandwidth (864.0GB/s vs 317.4GB/s)

15104 additional rendering cores

Score

Benchmark

FP32 (float)

Quadro M6000 24 GB

6.844 TFLOPS

L40G +1214%

89.97 TFLOPS

Quadro M6000 24 GB

VS

L40G

Graphics Card

Mar 2016

Release Date

Oct 2022

Quadro

Generation

Tesla Ada

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

PCIe 4.0 x16

Clock Speeds

988 MHz

Base Clock

1005 MHz

1114 MHz

Boost Clock

2475 MHz

1653 MHz

Memory Clock

2250 MHz

Memory

24GB

Memory Size

24GB

GDDR5

Memory Type

GDDR6

384bit

Memory Bus

384bit

317.4GB/s

Bandwidth

864.0GB/s

Render Config

-

SM Count

142

-

Compute Units

-

3072

Shading Units

18176

256

TMUs

568

96

ROPs

192

-

Tensor Cores

568

-

RT Cores

142

48 KB (per SMM)

L1 Cache

128 KB (per SM)

3 MB

L2 Cache

48 MB

Theoretical Performance

106.9 GPixel/s

Pixel Rate

475.2 GPixel/s

285.2 GTexel/s

Texture Rate

1406 GTexel/s

-

FP16 (half)

89.97 TFLOPS

6.844 TFLOPS

FP32 (float)

89.97 TFLOPS

213.9 GFLOPS

FP64 (double)

1406 GFLOPS

Graphics Processor

GM200

GPU Name

AD102

GM200-880-A1

GPU Variant

AD102-???-A1

Maxwell 2.0

Architecture

Ada Lovelace

TSMC

Foundry

TSMC

28 nm

Process Size

4 nm

8 billion

Transistors

76.3 billion

601 mm²

Die Size

608 mm²

Board Design

250W

TDP

300W

600 W

Suggested PSU

700 W

1x DVI 4x DisplayPort 1.4a

Outputs

1x HDMI 2.1 3x DisplayPort 1.4a

1x 8-pin

Power Connectors

1x 16-pin

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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