NVIDIA RTX A4500 Embedded vs NVIDIA L40 CNX

VS

NVIDIA RTX A4500 Embedded NVIDIA L40 CNX

We compared two Professional market GPUs: 16GB VRAM RTX A4500 Embedded and 24GB VRAM L40 CNX to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA RTX A4500 Embedded 's Advantages

Lower TDP (80W vs 300W)

NVIDIA L40 CNX 's Advantages

Released 7 months late

Boost Clock has increased by 104% (2475MHz vs 1215MHz)

More VRAM (24GB vs 16GB)

Larger VRAM bandwidth (864.0GB/s vs 384.0GB/s)

12288 additional rendering cores

Score

Benchmark

FP32 (float)

RTX A4500 Embedded

14.31 TFLOPS

L40 CNX +528%

89.97 TFLOPS

RTX A4500 Embedded

VS

L40 CNX

Graphics Card

Mar 2022

Release Date

Oct 2022

Quadro Ampere-M

Generation

Tesla Ada

Professional

Type

Professional

PCIe 4.0 x16

Bus Interface

PCIe 4.0 x16

Clock Speeds

510 MHz

Base Clock

1005 MHz

1215 MHz

Boost Clock

2475 MHz

1500 MHz

Memory Clock

2250 MHz

Memory

16GB

Memory Size

24GB

GDDR6

Memory Type

GDDR6

256bit

Memory Bus

384bit

384.0GB/s

Bandwidth

864.0GB/s

Render Config

46

SM Count

142

-

Compute Units

-

5888

Shading Units

18176

184

TMUs

568

96

ROPs

192

184

Tensor Cores

568

46

RT Cores

142

128 KB (per SM)

L1 Cache

128 KB (per SM)

4 MB

L2 Cache

48 MB

Theoretical Performance

116.6 GPixel/s

Pixel Rate

475.2 GPixel/s

223.6 GTexel/s

Texture Rate

1406 GTexel/s

14.31 TFLOPS

FP16 (half)

89.97 TFLOPS

14.31 TFLOPS

FP32 (float)

89.97 TFLOPS

223.6 GFLOPS

FP64 (double)

1406 GFLOPS

Graphics Processor

GA104

GPU Name

AD102

-

GPU Variant

AD102-???-A1

Ampere

Architecture

Ada Lovelace

Samsung

Foundry

TSMC

8 nm

Process Size

4 nm

17.4 billion

Transistors

76.3 billion

392 mm²

Die Size

608 mm²

Board Design

80W

TDP

300W

-

Suggested PSU

700 W

Portable Device Dependent

Outputs

1x HDMI 2.1 3x DisplayPort 1.4a

None

Power Connectors

1x 16-pin

Graphics Features

12 Ultimate (12_2)

DirectX

12 Ultimate (12_2)

4.6

OpenGL

4.6

3.0

OpenCL

3.0

1.3

Vulkan

1.3

8.6

CUDA

8.9

6.7

Shader Model

6.6

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