NVIDIA L40 CNX vs NVIDIA Jetson Orin Nano 4 GB

VS

NVIDIA L40 CNX NVIDIA Jetson Orin Nano 4 GB

We compared two Professional market GPUs: 24GB VRAM L40 CNX and 4GB VRAM Jetson Orin Nano 4 GB to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA L40 CNX 's Advantages

Boost Clock2475MHz

More VRAM (24GB vs 4GB)

Larger VRAM bandwidth (864.0GB/s vs 34.14GB/s)

17664 additional rendering cores

NVIDIA Jetson Orin Nano 4 GB 's Advantages

Lower TDP (10W vs 300W)

Score

Benchmark

FP32 (float)

L40 CNX +13957%

89.97 TFLOPS

Jetson Orin Nano 4 GB

0.64 TFLOPS

L40 CNX

VS

Jetson Orin Nano 4 GB

Graphics Card

Oct 2022

Release Date

Mar 2023

Tesla Ada

Generation

Tegra

Professional

Type

Professional

PCIe 4.0 x16

Bus Interface

PCIe 4.0 x4

Clock Speeds

1005 MHz

Base Clock

-

2475 MHz

Boost Clock

-

2250 MHz

Memory Clock

1067 MHz

Memory

24GB

Memory Size

4GB

GDDR6

Memory Type

LPDDR5

384bit

Memory Bus

64bit

864.0GB/s

Bandwidth

34.14GB/s

Render Config

142

SM Count

4

-

Compute Units

-

18176

Shading Units

512

568

TMUs

16

192

ROPs

8

568

Tensor Cores

16

142

RT Cores

-

128 KB (per SM)

L1 Cache

128 KB (per SM)

48 MB

L2 Cache

256 KB

Theoretical Performance

475.2 GPixel/s

Pixel Rate

5.000 GPixel/s

1406 GTexel/s

Texture Rate

10.00 GTexel/s

89.97 TFLOPS

FP16 (half)

1280 GFLOPS

89.97 TFLOPS

FP32 (float)

640.0 GFLOPS

1406 GFLOPS

FP64 (double)

320.0 GFLOPS

Graphics Processor

AD102

GPU Name

GA10B

AD102-???-A1

GPU Variant

-

Ada Lovelace

Architecture

Ampere

TSMC

Foundry

Samsung

4 nm

Process Size

8 nm

76.3 billion

Transistors

Unknown

608 mm²

Die Size

Unknown

Board Design

300W

TDP

10W

700 W

Suggested PSU

-

1x HDMI 2.1 3x DisplayPort 1.4a

Outputs

Portable Device Dependent

1x 16-pin

Power Connectors

-

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

8.9

CUDA

8.6

6.6

Shader Model

6.7

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