{"product_id":"modulo-para-ia-nvidia-jetson-agx-orin-64gb","title":"Módulo para IA NVIDIA Jetson AGX Orin 64GB","description":"\u003ch2\u003e🚀 Plataforma de Alto Desempenho para IA na Borda (Edge AI)\u003c\/h2\u003e\n\u003cp\u003eO \u003cstrong\u003eNVIDIA Jetson AGX Orin 64GB\u003c\/strong\u003e é um dos módulos de computação embarcada mais poderosos da NVIDIA, desenvolvido para aplicações de Inteligência Artificial, robótica, veículos autônomos, visão computacional, automação industrial, cidades inteligentes e computação de borda (Edge Computing).\u003c\/p\u003e\n\u003cp\u003eCom até \u003cstrong\u003e275 TOPS de desempenho em IA\u003c\/strong\u003e, GPU baseada na arquitetura \u003cstrong\u003eNVIDIA Ampere\u003c\/strong\u003e e \u003cstrong\u003e64 GB de memória LPDDR5\u003c\/strong\u003e, o Jetson AGX Orin é capaz de executar modelos avançados de IA generativa, visão computacional e aprendizado profundo diretamente no dispositivo, reduzindo a dependência de servidores em nuvem.\u003c\/p\u003e\n\u003chr\u003e\n\u003ch1\u003e⚡ Desempenho de IA\u003c\/h1\u003e\n\u003cp\u003eProjetado para aplicações profissionais de IA e robótica:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eAté \u003cstrong\u003e275 TOPS\u003c\/strong\u003e de desempenho em Inteligência Artificial\u003c\/li\u003e\n\u003cli\u003eSuporte para modelos de IA generativa\u003c\/li\u003e\n\u003cli\u003eInferência de LLMs (Large Language Models)\u003c\/li\u003e\n\u003cli\u003eDeep Learning\u003c\/li\u003e\n\u003cli\u003eMachine Learning\u003c\/li\u003e\n\u003cli\u003eVisão Computacional\u003c\/li\u003e\n\u003cli\u003eProcessamento de múltiplas câmeras\u003c\/li\u003e\n\u003cli\u003eRobótica autônoma\u003c\/li\u003e\n\u003cli\u003eAutomação industrial\u003c\/li\u003e\n\u003cli\u003eSistemas embarcados de alta performance.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003chr\u003e\n\u003ch1\u003e🧠 CPU de Alto Desempenho\u003c\/h1\u003e\n\u003cp\u003eO módulo integra uma CPU Arm® de última geração.\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003e12 núcleos Arm Cortex-A78AE 64 bits\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003eArquitetura Arm v8.2\u003c\/li\u003e\n\u003cli\u003eFrequência de até \u003cstrong\u003e2,2 GHz\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003cli\u003eCache:\n\u003cul\u003e\n\u003cli\u003e3 MB L2\u003c\/li\u003e\n\u003cli\u003e6 MB L3\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eIdeal para aplicações multitarefa e processamento embarcado de baixa latência.\u003cspan\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003chr\u003e\n\u003ch1\u003e🎮 GPU NVIDIA Ampere\u003c\/h1\u003e\n\u003cp\u003eA GPU integrada oferece aceleração massiva para IA e gráficos.\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eArquitetura \u003cstrong\u003eNVIDIA Ampere\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003e2.048 CUDA Cores\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003e64 Tensor Cores\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003eFrequência de até \u003cstrong\u003e1,3 GHz\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eCompatível com:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eCUDA\u003c\/li\u003e\n\u003cli\u003ecuDNN\u003c\/li\u003e\n\u003cli\u003eTensorRT\u003c\/li\u003e\n\u003cli\u003eNVIDIA Isaac\u003c\/li\u003e\n\u003cli\u003eDeepStream\u003c\/li\u003e\n\u003cli\u003eJetPack SDK\u003c\/li\u003e\n\u003cli\u003eROS e ROS 2\u003c\/li\u003e\n\u003cli\u003eOpenCV\u003c\/li\u003e\n\u003cli\u003eDocker.\u003cspan\u003e\u003c\/span\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003chr\u003e\n\u003ch1\u003e💾 Memória\u003c\/h1\u003e\n\u003cp\u003eMemória unificada de alta velocidade para grandes modelos de IA.\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003e64 GB LPDDR5\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003eBarramento de \u003cstrong\u003e256 bits\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003cli\u003eLargura de banda de \u003cstrong\u003e204,8 GB\/s\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eIdeal para modelos de IA generativa, múltiplos fluxos de vídeo e aplicações complexas.\u003c\/p\u003e\n\u003chr\u003e\n\u003ch1\u003e💽 Armazenamento\u003c\/h1\u003e\n\u003cp\u003eO módulo possui:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003e64 GB eMMC 5.1\u003c\/strong\u003e integrado\u003c\/li\u003e\n\u003cli\u003eSuporte para armazenamento NVMe externo (dependendo da placa\/carrier board utilizada).\u003cspan\u003e\u003c\/span\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003chr\u003e\n\u003ch1\u003e🤖 Aceleradores de IA\u003c\/h1\u003e\n\u003cp\u003eAlém da GPU, o Jetson AGX Orin incorpora aceleradores dedicados.\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e2× NVIDIA Deep Learning Accelerator (NVDLA v2)\u003c\/li\u003e\n\u003cli\u003e1× Programmable Vision Accelerator (PVA v2)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eEsses componentes aumentam a eficiência em tarefas de inferência e processamento de visão computacional.\u003c\/p\u003e\n\u003chr\u003e\n\u003ch1\u003e🎥 Recursos de Vídeo\u003c\/h1\u003e\n\u003cp\u003eProjetado para aplicações com múltiplas câmeras e processamento em tempo real.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eCodificação de vídeo\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eAté 2× 4K 60 fps (H.265)\u003c\/li\u003e\n\u003cli\u003eAté 4× 4K 30 fps\u003c\/li\u003e\n\u003cli\u003eAté 8× 1080p 60 fps\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eDecodificação\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eAté 8K 30 fps\u003c\/li\u003e\n\u003cli\u003eAté 3× 4K 60 fps\u003c\/li\u003e\n\u003cli\u003eAté 7× 4K 30 fps\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eIdeal para sistemas de vigilância, inspeção industrial e veículos inteligentes.\u003c\/p\u003e\n\u003chr\u003e\n\u003ch1\u003e🌐 Ecossistema NVIDIA\u003c\/h1\u003e\n\u003cp\u003eCompatível com todo o ambiente de desenvolvimento NVIDIA.\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eNVIDIA JetPack SDK\u003c\/li\u003e\n\u003cli\u003eCUDA\u003c\/li\u003e\n\u003cli\u003eTensorRT\u003c\/li\u003e\n\u003cli\u003ecuDNN\u003c\/li\u003e\n\u003cli\u003eDeepStream SDK\u003c\/li\u003e\n\u003cli\u003eIsaac ROS\u003c\/li\u003e\n\u003cli\u003eDocker\u003c\/li\u003e\n\u003cli\u003eUbuntu Linux\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003ePermite acelerar o desenvolvimento de aplicações embarcadas com IA.\u003c\/p\u003e\n\u003chr\u003e\n\u003ch1\u003e📋 Especificações Técnicas\u003c\/h1\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e\n\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003eEspecificação\u003c\/th\u003e\n\u003cth\u003eDetalhes\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMarca\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eNVIDIA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eModelo\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eJetson AGX Orin 64GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCategoria\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eMódulo de Computação Embarcada para IA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e12× Arm Cortex-A78AE 64 bits\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eClock Máximo da CPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eAté 2,2 GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Ampere\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCUDA Cores\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2.048\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eTensor Cores\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e64\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDesempenho de IA\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eAté 275 TOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMemória\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e64 GB LPDDR5\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eBarramento\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e256 bits\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eLargura de Banda\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e204,8 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eArmazenamento\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e64 GB eMMC 5.1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eAceleradores\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2× NVDLA v2 + 1× PVA v2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eSistema Operacional\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eUbuntu Linux (JetPack SDK)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eFrameworks Compatíveis\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eCUDA, TensorRT, cuDNN, DeepStream, Isaac ROS, OpenCV\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eAplicações\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eIA, Robótica, Edge AI, Visão Computacional, Automação Industrial\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Alfa Tecnologico","offers":[{"title":"Default Title","offer_id":59733755724062,"sku":null,"price":35599.9,"currency_code":"BRL","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0788\/3472\/9246\/files\/M-dulo-Nvidia-Jetson-AGX-Orin-Developer-Kit-64GB-945-13730-0050-000_1770930600.webp?v=1785864571","url":"https:\/\/alfatecnologico.com.br\/products\/modulo-para-ia-nvidia-jetson-agx-orin-64gb","provider":"Alfa Tecnologico","version":"1.0","type":"link"}