{"product_id":"mini-pc-nvidia-dgx-spark-supercomputador-da-alta-performance-128gb-ram-4tb-ssd","title":"Mini PC NVIDIA DGX Spark – Supercomputador da Alta Performance 128GB RAM+ 4TB SSD","description":"\u003ch2 data-section-id=\"3sb7sj\" data-start=\"79\" data-end=\"118\" class=\"PDq2pG_selectionAnchorContainer\"\u003e🚀 IA de Alto Desempenho na Sua Mesa\u003cspan aria-hidden=\"true\" class=\"PDq2pG_selectionAnchor\"\u003e\u003c\/span\u003e\n\u003c\/h2\u003e\n\u003cp data-start=\"120\" data-end=\"540\"\u003eO \u003cstrong data-start=\"122\" data-end=\"142\"\u003eNVIDIA DGX Spark\u003c\/strong\u003e é um supercomputador pessoal desenvolvido para pesquisadores, desenvolvedores, cientistas de dados e profissionais que trabalham com Inteligência Artificial. Equipado com a arquitetura \u003cstrong data-start=\"328\" data-end=\"354\"\u003eNVIDIA Grace Blackwell\u003c\/strong\u003e, ele entrega desempenho excepcional para desenvolvimento, treinamento, ajuste fino (fine-tuning) e inferência de modelos de IA diretamente na estação de trabalho, sem depender da nuvem.\u003c\/p\u003e\n\u003cp data-start=\"542\" data-end=\"735\"\u003eCom até \u003cstrong data-start=\"550\" data-end=\"584\"\u003e1.000 TOPS de desempenho em IA\u003c\/strong\u003e, o DGX Spark é ideal para executar grandes modelos de linguagem (LLMs), visão computacional, robótica, análise de dados e aplicações de IA generativa.\u003c\/p\u003e\n\u003chr data-start=\"737\" data-end=\"740\"\u003e\n\u003ch2 data-section-id=\"15eytz7\" data-start=\"742\" data-end=\"781\"\u003e⚡ Arquitetura NVIDIA Grace Blackwell\u003c\/h2\u003e\n\u003cp data-start=\"783\" data-end=\"1006\"\u003eO DGX Spark combina a CPU \u003cstrong data-start=\"809\" data-end=\"825\"\u003eNVIDIA Grace\u003c\/strong\u003e e a GPU \u003cstrong data-start=\"834\" data-end=\"847\"\u003eBlackwell\u003c\/strong\u003e em um único sistema de alta eficiência, utilizando memória unificada de alta largura de banda para eliminar gargalos entre processamento e aceleração gráfica.\u003c\/p\u003e\n\u003cp data-start=\"1008\" data-end=\"1121\"\u003eEssa arquitetura oferece excelente desempenho para treinamento, inferência e desenvolvimento de aplicações de IA.\u003c\/p\u003e\n\u003chr data-start=\"1123\" data-end=\"1126\"\u003e\n\u003ch2 data-section-id=\"r8nqlw\" data-start=\"1128\" data-end=\"1173\"\u003e🤖 Desempenho para Inteligência Artificial\u003c\/h2\u003e\n\u003cp data-start=\"1175\" data-end=\"1252\"\u003eProjetado especificamente para cargas de trabalho de IA, o DGX Spark oferece:\u003c\/p\u003e\n\u003cul data-start=\"1254\" data-end=\"1550\"\u003e\n\u003cli data-section-id=\"ehdvac\" data-start=\"1254\" data-end=\"1294\"\u003eAté \u003cstrong data-start=\"1260\" data-end=\"1274\"\u003e1.000 TOPS\u003c\/strong\u003e de desempenho em IA\u003c\/li\u003e\n\u003cli data-section-id=\"icud5n\" data-start=\"1295\" data-end=\"1342\"\u003eExecução local de modelos de linguagem (LLMs)\u003c\/li\u003e\n\u003cli data-section-id=\"mo4ln5\" data-start=\"1343\" data-end=\"1379\"\u003eFine-tuning de modelos generativos\u003c\/li\u003e\n\u003cli data-section-id=\"ga10ax\" data-start=\"1380\" data-end=\"1412\"\u003eInferência de IA em tempo real\u003c\/li\u003e\n\u003cli data-section-id=\"svat90\" data-start=\"1413\" data-end=\"1469\"\u003eDesenvolvimento de aplicações com NVIDIA AI Enterprise\u003c\/li\u003e\n\u003cli data-section-id=\"19ky2t\" data-start=\"1470\" data-end=\"1550\"\u003eCompatibilidade com NVIDIA CUDA®, TensorRT™, cuDNN e demais bibliotecas NVIDIA\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003chr data-start=\"1552\" data-end=\"1555\"\u003e\n\u003ch2 data-section-id=\"1fh9rw7\" data-start=\"1557\" data-end=\"1599\"\u003e💾 Memória Unificada de Alta Velocidade\u003c\/h2\u003e\n\u003cp data-start=\"1601\" data-end=\"1795\"\u003eConta com \u003cstrong data-start=\"1611\" data-end=\"1650\"\u003e128 GB de memória unificada LPDDR5X\u003c\/strong\u003e, compartilhada entre CPU e GPU, proporcionando alta largura de banda e reduzindo significativamente a latência em cargas de trabalho intensivas.\u003c\/p\u003e\n\u003cp data-start=\"1797\" data-end=\"1898\"\u003eEssa arquitetura é especialmente eficiente para grandes modelos de IA e conjuntos de dados complexos.\u003c\/p\u003e\n\u003chr data-start=\"1900\" data-end=\"1903\"\u003e\n\u003ch2 data-section-id=\"iuju9k\" data-start=\"1905\" data-end=\"1929\"\u003e📂 Armazenamento NVMe\u003c\/h2\u003e\n\u003cp data-start=\"1931\" data-end=\"2035\"\u003eEquipado com \u003cstrong data-start=\"1944\" data-end=\"1968\"\u003eSSD NVMe de até 4 TB\u003c\/strong\u003e, garantindo carregamento rápido de modelos, datasets e aplicações.\u003c\/p\u003e\n\u003chr data-start=\"2037\" data-end=\"2040\"\u003e\n\u003ch2 data-section-id=\"57m3ga\" data-start=\"2042\" data-end=\"2080\"\u003e🌐 Conectividade de Alto Desempenho\u003c\/h2\u003e\n\u003cp data-start=\"2082\" data-end=\"2190\"\u003eO DGX Spark oferece interfaces modernas para integração com estações de trabalho e redes de alta velocidade.\u003c\/p\u003e\n\u003cul data-start=\"2192\" data-end=\"2331\"\u003e\n\u003cli data-section-id=\"4eo3qb\" data-start=\"2192\" data-end=\"2201\"\u003eWi-Fi 7\u003c\/li\u003e\n\u003cli data-section-id=\"1oxncom\" data-start=\"2202\" data-end=\"2217\"\u003eBluetooth 5.3\u003c\/li\u003e\n\u003cli data-section-id=\"8xge5a\" data-start=\"2218\" data-end=\"2247\"\u003eEthernet de alta velocidade\u003c\/li\u003e\n\u003cli data-section-id=\"6otd6l\" data-start=\"2248\" data-end=\"2262\"\u003eUSB4 \/ USB-C\u003c\/li\u003e\n\u003cli data-section-id=\"2cwzfk\" data-start=\"2263\" data-end=\"2331\"\u003eSaída de vídeo DisplayPort (via USB-C, dependendo da configuração)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003chr data-start=\"2333\" data-end=\"2336\"\u003e\n\u003ch2 data-section-id=\"1dnfayt\" data-start=\"2338\" data-end=\"2379\"\u003e❄️ Sistema de Refrigeração Inteligente\u003c\/h2\u003e\n\u003cp data-start=\"2381\" data-end=\"2567\"\u003eSeu sistema térmico foi desenvolvido para manter alto desempenho contínuo com baixo nível de ruído, permitindo operação estável durante treinamentos prolongados e inferências intensivas.\u003c\/p\u003e\n\u003chr data-start=\"2569\" data-end=\"2572\"\u003e\n\u003ch1 data-section-id=\"15da5fc\" data-start=\"2574\" data-end=\"2602\"\u003e📋 Especificações Técnicas\u003c\/h1\u003e\n\u003cdiv class=\"TyagGW_tableContainer\"\u003e\n\u003cdiv class=\"group TyagGW_tableWrapper flex flex-col-reverse w-fit\" tabindex=\"-1\"\u003e\n\u003ctable data-start=\"2604\" data-end=\"3277\" class=\"w-fit min-w-(--thread-content-width)\"\u003e\n\u003cthead data-start=\"2604\" data-end=\"2632\"\u003e\n\u003ctr data-start=\"2604\" data-end=\"2632\"\u003e\n\u003cth data-start=\"2604\" data-end=\"2620\" data-col-size=\"sm\" class=\"last:pe-10\"\u003eEspecificação\u003c\/th\u003e\n\u003cth data-start=\"2620\" data-end=\"2632\" data-col-size=\"md\" class=\"last:pe-10\"\u003eDetalhes\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody data-start=\"2662\" data-end=\"3277\"\u003e\n\u003ctr data-start=\"2662\" data-end=\"2695\"\u003e\n\u003ctd data-start=\"2662\" data-end=\"2675\" data-col-size=\"sm\"\u003e\u003cstrong data-start=\"2664\" data-end=\"2674\"\u003eModelo\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd data-start=\"2675\" data-end=\"2695\" data-col-size=\"md\"\u003eNVIDIA DGX Spark\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-start=\"2696\" data-end=\"2740\"\u003e\n\u003ctd data-start=\"2696\" data-end=\"2714\" data-col-size=\"sm\"\u003e\u003cstrong data-start=\"2698\" data-end=\"2713\"\u003eArquitetura\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd data-col-size=\"md\" data-start=\"2714\" data-end=\"2740\"\u003eNVIDIA Grace Blackwell\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-start=\"2741\" data-end=\"2767\"\u003e\n\u003ctd data-start=\"2741\" data-end=\"2751\" data-col-size=\"sm\"\u003e\u003cstrong data-start=\"2743\" data-end=\"2750\"\u003eCPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd data-col-size=\"md\" data-start=\"2751\" data-end=\"2767\"\u003eNVIDIA Grace\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-start=\"2768\" data-end=\"2798\"\u003e\n\u003ctd data-start=\"2768\" data-end=\"2778\" data-col-size=\"sm\"\u003e\u003cstrong data-start=\"2770\" data-end=\"2777\"\u003eGPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd data-col-size=\"md\" data-start=\"2778\" data-end=\"2798\"\u003eNVIDIA Blackwell\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-start=\"2799\" data-end=\"2840\"\u003e\n\u003ctd data-start=\"2799\" data-end=\"2822\" data-col-size=\"sm\"\u003e\u003cstrong data-start=\"2801\" data-end=\"2821\"\u003eDesempenho em IA\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd data-col-size=\"md\" data-start=\"2822\" data-end=\"2840\"\u003eAté 1.000 TOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-start=\"2841\" data-end=\"2883\"\u003e\n\u003ctd data-start=\"2841\" data-end=\"2855\" data-col-size=\"sm\"\u003e\u003cstrong data-start=\"2843\" data-end=\"2854\"\u003eMemória\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd data-col-size=\"md\" data-start=\"2855\" data-end=\"2883\"\u003e128 GB LPDDR5X unificada\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-start=\"2884\" data-end=\"2928\"\u003e\n\u003ctd data-start=\"2884\" data-end=\"2904\" data-col-size=\"sm\"\u003e\u003cstrong data-start=\"2886\" data-end=\"2903\"\u003eArmazenamento\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd data-col-size=\"md\" data-start=\"2904\" data-end=\"2928\"\u003eSSD NVMe de até 4 TB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-start=\"2929\" data-end=\"2980\"\u003e\n\u003ctd data-start=\"2929\" data-end=\"2955\" data-col-size=\"sm\"\u003e\u003cstrong data-start=\"2931\" data-end=\"2954\"\u003eSistema Operacional\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd data-col-size=\"md\" data-start=\"2955\" data-end=\"2980\"\u003eNVIDIA DGX OS (Linux)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-start=\"2981\" data-end=\"3080\"\u003e\n\u003ctd data-start=\"2981\" data-end=\"3010\" data-col-size=\"sm\"\u003e\u003cstrong data-start=\"2983\" data-end=\"3009\"\u003eFrameworks Compatíveis\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd data-col-size=\"md\" data-start=\"3010\" data-end=\"3080\"\u003eCUDA®, TensorRT™, cuDNN, PyTorch, TensorFlow, NVIDIA AI Enterprise\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-start=\"3081\" data-end=\"3143\"\u003e\n\u003ctd data-start=\"3081\" data-end=\"3101\" data-col-size=\"sm\"\u003e\u003cstrong data-start=\"3083\" data-end=\"3100\"\u003eConectividade\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd data-col-size=\"md\" data-start=\"3101\" data-end=\"3143\"\u003eWi-Fi 7, Bluetooth 5.3, Ethernet, USB4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-start=\"3144\" data-end=\"3186\"\u003e\n\u003ctd data-start=\"3144\" data-end=\"3155\" data-col-size=\"sm\"\u003e\u003cstrong data-start=\"3146\" data-end=\"3154\"\u003eRede\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd data-col-size=\"md\" data-start=\"3155\" data-end=\"3186\"\u003eEthernet de alta velocidade\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-start=\"3187\" data-end=\"3242\"\u003e\n\u003ctd data-start=\"3187\" data-end=\"3212\" data-col-size=\"sm\"\u003e\u003cstrong data-start=\"3189\" data-end=\"3211\"\u003eConsumo de Energia\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd data-col-size=\"md\" data-start=\"3212\" data-end=\"3242\"\u003eAlta eficiência energética\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-start=\"3243\" data-end=\"3277\"\u003e\n\u003ctd data-start=\"3243\" data-end=\"3257\" data-col-size=\"sm\"\u003e\u003cstrong data-start=\"3245\" data-end=\"3256\"\u003eFormato\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd data-col-size=\"md\" data-start=\"3257\" data-end=\"3277\"\u003eDesktop compacto\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003chr data-start=\"3279\" data-end=\"3282\"\u003e\n\u003ch2 data-section-id=\"depqpm\" data-start=\"3284\" data-end=\"3310\"\u003e🎯 Aplicações Indicadas\u003c\/h2\u003e\n\u003cul data-start=\"3312\" data-end=\"3534\"\u003e\n\u003cli data-section-id=\"pi788q\" data-start=\"3312\" data-end=\"3356\"\u003eDesenvolvimento de Inteligência Artificial\u003c\/li\u003e\n\u003cli data-section-id=\"1srd7oy\" data-start=\"3357\" data-end=\"3386\"\u003eModelos de Linguagem (LLMs)\u003c\/li\u003e\n\u003cli data-section-id=\"12dffao\" data-start=\"3387\" data-end=\"3402\"\u003eIA Generativa\u003c\/li\u003e\n\u003cli data-section-id=\"d3mavt\" data-start=\"3403\" data-end=\"3421\"\u003eMachine Learning\u003c\/li\u003e\n\u003cli data-section-id=\"1anlmtk\" data-start=\"3422\" data-end=\"3437\"\u003eDeep Learning\u003c\/li\u003e\n\u003cli data-section-id=\"chixsh\" data-start=\"3438\" data-end=\"3456\"\u003eCiência de Dados\u003c\/li\u003e\n\u003cli data-section-id=\"6hwn8f\" data-start=\"3457\" data-end=\"3478\"\u003eVisão Computacional\u003c\/li\u003e\n\u003cli data-section-id=\"i56ghn\" data-start=\"3479\" data-end=\"3489\"\u003eRobótica\u003c\/li\u003e\n\u003cli data-section-id=\"ff97s4\" data-start=\"3490\" data-end=\"3511\"\u003ePesquisa Científica\u003c\/li\u003e\n\u003cli data-section-id=\"185bv1n\" data-start=\"3512\" data-end=\"3534\"\u003eSimulações Avançadas\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Alfa Tecnologico","offers":[{"title":"Default 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