Nvidia Jetson

Jetson is used to deploy a wide range of popular DNN models and ML frameworks to the edge with high performance inferencing, for tasks like real-time classification and object detection, pose estimation, semantic segmentation, and natural language processing (NLP). The table below shows inferencing benchmarks for popular vision DNNs across the Jetson family with the lastest etPack.

NVIDIA / NVIDIA Jetson Nano Development Kit-B01 [102110417] / MCU보드/전자키트 > 임베디드/인공지능/산업용 > 인공지능/머신러닝 > 개발보드/모듈/키트 / 엔비디아 젯슨 나노 / GPU : 128 코어 Maxwell / CPU : 쿼드코어 ARM A57 @ 1.43GHz / 100mm x 80mm x 29mm

NVIDIA / NVIDIA Jetson TX2 Module 8GB [102110402] / MCU보드/전자키트 > 임베디드/인공지능/산업용 > 인공지능/머신러닝 > 개발보드/모듈/키트 / AI 애플리케이션을위한 풍부한 인터페이스 / AI 성능 : 1.33 TFLOP / GPU : 256코어 NVIDIA Pascal GPU / RAM : 8GB LPDDR4 / 전력 : 7.5W / 15W / 87mm x 50mm, 400 핀 커넥터

AI : 6TFLOPS (FP16) 21 TOPS (INT8) / GPU : NVIDIA Volta (384개 NVIDIA CUDA® 코어 + 48개 Tensor코어) / CPU : 6코어 NVIDIA Carmel ARM®v8.2 64비트 CPU 6MB L2 + 4MB L3 / 메모리 : 8GB 128비트 LPDDR4x @ 51.2GB/s

NVIDIA / NVIDIA Jetson AGX Xavier Development Kit [102110406] / MCU보드/전자키트 > 임베디드/인공지능/산업용 > 인공지능/머신러닝 > 개발보드/모듈/키트 / GPU : 텐서코어가 장착된 512코어 Volta GPU / CPU : 8코어 ARM v8.2 64 비트 CPU, 8MB L2 + 4MB L3 / 메모리 : 32GB 256비트 LPDDR4x | 137GB/초

COUPANG

Want to know the differences between Nvidia Jetson Nano Developer Kit A02 and B01 and 2GB? Here it is! Introduction The release of Nvidia Jetson Nano in March 2019 has provided the world of makers with an affordable yet high-performance solution for AI applications. Jetson Nano offers sufficient processing power for the community to start ...