{"product_id":"msi-edgexpert-ai-supercomputer-gb10-128gb-ssd-4tb","title":"MSI EdgeXpert AI Supercomputer GB10, 128GB, SSD 4TB","description":"\u003cp\u003eMSI EdgeXpert MS-C931 este un supercomputer AI personal ultra-compact, conceput pentru dezvoltatori, cercetători, data scientists și organizații care vor să ruleze local modele AI complexe fără infrastructură GPU de tip server tradițional. La baza sistemului se află supercipul NVIDIA GB10 Grace Blackwell, care combină un procesor Arm cu 20 de nuclee, GPU NVIDIA Blackwell și interconectare NVIDIA NVLink-C2C într-o arhitectură unificată.\u003c\/p\u003e\n\u003cp\u003eCei 128 GB de memorie LPDDR5x sunt partajați coerent între CPU și GPU, eliminând o parte dintre transferurile tradiționale dintre memoria sistemului și memoria video. Cu până la 1.000 AI TOPS în FP4, sistemul este destinat dezvoltării, fine-tuning-ului și inferenței modelelor generative și poate rula local modele cu până la aproximativ 200 de miliarde de parametri. Configurația include SSD NVMe de 4 TB, 10GbE, NVIDIA ConnectX-7, Wi-Fi 7, Bluetooth și multiple interfețe USB-C, într-o carcasă de numai aproximativ 1,2 litri.\u003c\/p\u003e\n\u003ch2\u003eCaracteristici principale\u003c\/h2\u003e\n\u003cdiv class=\"TyagGW_tableContainer\"\u003e\n\u003cdiv class=\"group TyagGW_tableWrapper flex flex-col-reverse w-fit\" tabindex=\"-1\"\u003e\n\u003ctable class=\"w-fit min-w-(--thread-content-width)\"\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth class=\"last:pe-10\"\u003e\u003cstrong\u003eCaracteristică\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth class=\"last:pe-10\"\u003e\u003cstrong\u003eDetalii\u003c\/strong\u003e\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003ePlatformă AI\u003c\/td\u003e\n\u003ctd\u003eNVIDIA DGX Spark\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eProcesor\u003c\/td\u003e\n\u003ctd\u003eNVIDIA GB10 Grace Blackwell\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU\u003c\/td\u003e\n\u003ctd\u003eArm, 20 nuclee\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Blackwell\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTensor Performance\u003c\/td\u003e\n\u003ctd\u003ePână la 1.000 AI TOPS FP4 Sparse\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemorie sistem\u003c\/td\u003e\n\u003ctd\u003e128 GB LPDDR5x\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTip memorie\u003c\/td\u003e\n\u003ctd\u003eCoerentă și unificată CPU-GPU\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBandwidth memorie\u003c\/td\u003e\n\u003ctd\u003e273 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSSD\u003c\/td\u003e\n\u003ctd\u003e4 TB NVMe M.2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCriptare SSD\u003c\/td\u003e\n\u003ctd\u003eDa\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEthernet\u003c\/td\u003e\n\u003ctd\u003e10 GbE\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSmart NIC\u003c\/td\u003e\n\u003ctd\u003eNVIDIA ConnectX-7\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWi-Fi\u003c\/td\u003e\n\u003ctd\u003eWi-Fi 7\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBluetooth\u003c\/td\u003e\n\u003ctd\u003e5.4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSB-C\u003c\/td\u003e\n\u003ctd\u003e4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eHDMI\u003c\/td\u003e\n\u003ctd\u003e2.1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eQSFP\u003c\/td\u003e\n\u003ctd\u003e2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNVENC\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNVDEC\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSistem de operare\u003c\/td\u003e\n\u003ctd\u003eNVIDIA DGX OS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRăcire\u003c\/td\u003e\n\u003ctd\u003eSmart Fan\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTPM\u003c\/td\u003e\n\u003ctd\u003eDa\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ch2\u003eAvantaje tehnice\u003c\/h2\u003e\n\u003cdiv class=\"TyagGW_tableContainer\"\u003e\n\u003cdiv class=\"group TyagGW_tableWrapper flex flex-col-reverse w-fit\" tabindex=\"-1\"\u003e\n\u003ctable class=\"w-fit min-w-(--thread-content-width)\"\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth class=\"last:pe-10\"\u003e\u003cstrong\u003eAvantaj tehnic\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth class=\"last:pe-10\"\u003e\u003cstrong\u003eBeneficiu pentru utilizator\u003c\/strong\u003e\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eNVIDIA GB10 Grace Blackwell\u003c\/td\u003e\n\u003ctd\u003eIntegrează CPU, GPU și memoria într-o platformă optimizată pentru AI\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e1.000 AI TOPS FP4\u003c\/td\u003e\n\u003ctd\u003ePermite rularea locală a unor sarcini generative complexe\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e128 GB memorie unificată\u003c\/td\u003e\n\u003ctd\u003eOferă un spațiu mare de memorie accesibil CPU-ului și GPU-ului\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNVLink-C2C\u003c\/td\u003e\n\u003ctd\u003eAsigură comunicație de mare viteză între CPU și GPU\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e273 GB\/s bandwidth\u003c\/td\u003e\n\u003ctd\u003eReduce limitările de transfer în sarcinile AI intensive\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSSD de 4 TB\u003c\/td\u003e\n\u003ctd\u003eSpațiu mare pentru modele, dataset-uri și proiecte\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSelf-encrypting SSD\u003c\/td\u003e\n\u003ctd\u003eProtecție suplimentară pentru datele locale\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eConnectX-7\u003c\/td\u003e\n\u003ctd\u003eConectivitate profesională pentru workload-uri AI\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e10GbE\u003c\/td\u003e\n\u003ctd\u003eTransfer rapid în rețea\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eQSFP\u003c\/td\u003e\n\u003ctd\u003ePermite interconectare de mare viteză între sisteme compatibile\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat de 1,2 L\u003c\/td\u003e\n\u003ctd\u003ePerformanță AI ridicată într-un sistem de birou compact\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDGX OS\u003c\/td\u003e\n\u003ctd\u003eMediu software optimizat pentru ecosistemul NVIDIA AI\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ch2\u003eAplicații și domenii de utilizare\u003c\/h2\u003e\n\u003cdiv class=\"TyagGW_tableContainer\"\u003e\n\u003cdiv class=\"group TyagGW_tableWrapper flex flex-col-reverse w-fit\" tabindex=\"-1\"\u003e\n\u003ctable class=\"w-fit min-w-(--thread-content-width)\"\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth class=\"last:pe-10\"\u003e\u003cstrong\u003eDomeniu \/ utilizare\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth class=\"last:pe-10\"\u003e\u003cstrong\u003ePentru ce este potrivit\u003c\/strong\u003e\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eInteligență artificială generativă\u003c\/td\u003e\n\u003ctd\u003eLLM-uri, generare de imagini și aplicații multimodale\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDezvoltare LLM\u003c\/td\u003e\n\u003ctd\u003eTestare și inferență locală\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFine-tuning\u003c\/td\u003e\n\u003ctd\u003eAdaptarea modelelor la dataset-uri specifice\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCercetare AI\u003c\/td\u003e\n\u003ctd\u003eExperimentare fără infrastructură cloud permanentă\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEducație\u003c\/td\u003e\n\u003ctd\u003eLaboratoare AI și cursuri avansate\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eData science\u003c\/td\u003e\n\u003ctd\u003eAnaliză și procesare accelerată\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFinTech\u003c\/td\u003e\n\u003ctd\u003eModele de risc, fraud detection și analiză\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMedical\u003c\/td\u003e\n\u003ctd\u003eCercetare și procesare AI locală, în aplicații compatibile\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMachine vision\u003c\/td\u003e\n\u003ctd\u003eDezvoltarea și testarea modelelor vizuale\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVoice AI\u003c\/td\u003e\n\u003ctd\u003eSpeech recognition și speech synthesis\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAgentic AI\u003c\/td\u003e\n\u003ctd\u003eDezvoltarea agenților și workflow-urilor AI locale\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDate sensibile\u003c\/td\u003e\n\u003ctd\u003eProcesare locală pentru reducerea expunerii datelor către cloud\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cp\u003eMSI poziționează EdgeXpert pentru educație, cercetare, enterprise AI labs, FinTech, medical și dezvoltarea de aplicații generative. \u003cspan class=\"\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003ch2\u003eSpecificații tehnice complete\u003c\/h2\u003e\n\u003cdiv class=\"TyagGW_tableContainer\"\u003e\n\u003cdiv class=\"group TyagGW_tableWrapper flex flex-col-reverse w-fit\" tabindex=\"-1\"\u003e\n\u003ctable class=\"w-fit min-w-(--thread-content-width)\"\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth class=\"last:pe-10\"\u003e\u003cstrong\u003eSpecificație\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth class=\"last:pe-10\"\u003e\u003cstrong\u003eDetalii\u003c\/strong\u003e\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eBrand\u003c\/td\u003e\n\u003ctd\u003eMSI\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFamilie\u003c\/td\u003e\n\u003ctd\u003eEdgeXpert\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eModel\u003c\/td\u003e\n\u003ctd\u003eMS-C931\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTip produs\u003c\/td\u003e\n\u003ctd\u003ePersonal AI Supercomputer\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePlatformă\u003c\/td\u003e\n\u003ctd\u003eNVIDIA DGX Spark\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eArhitectură\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Grace Blackwell\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSuperchip\u003c\/td\u003e\n\u003ctd\u003eNVIDIA GB10\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNumăr superchip-uri\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Grace Arm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNuclee CPU\u003c\/td\u003e\n\u003ctd\u003e20\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCortex-X925\u003c\/td\u003e\n\u003ctd\u003e10 nuclee\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCortex-A725\u003c\/td\u003e\n\u003ctd\u003e10 nuclee\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Blackwell\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eInterconectare CPU-GPU\u003c\/td\u003e\n\u003ctd\u003eNVIDIA NVLink-C2C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTensor Performance\u003c\/td\u003e\n\u003ctd\u003ePână la 1.000 AI TOPS FP4 Sparse\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePerformanță\u003c\/td\u003e\n\u003ctd\u003eAproximativ 1 petaFLOP AI FP4 Sparse\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemorie\u003c\/td\u003e\n\u003ctd\u003e128 GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTip memorie\u003c\/td\u003e\n\u003ctd\u003eLPDDR5x\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eArhitectură memorie\u003c\/td\u003e\n\u003ctd\u003eCoerentă, unificată\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eInterfață memorie\u003c\/td\u003e\n\u003ctd\u003e256-bit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBandwidth\u003c\/td\u003e\n\u003ctd\u003e273 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStocare\u003c\/td\u003e\n\u003ctd\u003e4 TB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat SSD\u003c\/td\u003e\n\u003ctd\u003eM.2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eInterfață SSD\u003c\/td\u003e\n\u003ctd\u003eNVMe\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCriptare\u003c\/td\u003e\n\u003ctd\u003eSelf-encrypting SSD\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU dedicat separat\u003c\/td\u003e\n\u003ctd\u003eNu\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemorie video separată\u003c\/td\u003e\n\u003ctd\u003eNu, utilizează memoria unificată de 128 GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNVIDIA Encoder\u003c\/td\u003e\n\u003ctd\u003e1 × NVENC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNVIDIA Decoder\u003c\/td\u003e\n\u003ctd\u003e1 × NVDEC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDisplay-uri independente\u003c\/td\u003e\n\u003ctd\u003ePână la 4, conform fișei MSI IPC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eHDMI\u003c\/td\u003e\n\u003ctd\u003e1 × HDMI 2.1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDisplayPort\u003c\/td\u003e\n\u003ctd\u003ePrin USB-C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSB\u003c\/td\u003e\n\u003ctd\u003e4 × USB 3.2 Type-C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEthernet\u003c\/td\u003e\n\u003ctd\u003e1 × RJ-45 10GbE\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNIC\u003c\/td\u003e\n\u003ctd\u003eNVIDIA ConnectX-7\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eQSFP\u003c\/td\u003e\n\u003ctd\u003e2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWi-Fi\u003c\/td\u003e\n\u003ctd\u003eWi-Fi 7\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBluetooth\u003c\/td\u003e\n\u003ctd\u003e5.4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAntene\u003c\/td\u003e\n\u003ctd\u003e2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTPM\u003c\/td\u003e\n\u003ctd\u003eDa\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRăcire\u003c\/td\u003e\n\u003ctd\u003eSmart Fan\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSistem de operare\u003c\/td\u003e\n\u003ctd\u003eNVIDIA DGX OS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAlimentare\u003c\/td\u003e\n\u003ctd\u003eAdaptor extern USB-C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePutere alimentare\u003c\/td\u003e\n\u003ctd\u003eAproximativ 240 W, conform fișei MSI\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDimensiuni\u003c\/td\u003e\n\u003ctd\u003e151 × 151 × 52 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVolum\u003c\/td\u003e\n\u003ctd\u003e1,19 L\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGreutate\u003c\/td\u003e\n\u003ctd\u003e1,2 kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCuloare\u003c\/td\u003e\n\u003ctd\u003eNegru\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cp\u003eFișa actuală MSI IPC precizează inclusiv adaptorul extern USB-C de aproximativ 240 W și două porturi QSFP. \u003cspan class=\"\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003ch2\u003eNVIDIA GB10 Grace Blackwell\u003c\/h2\u003e\n\u003cdiv class=\"TyagGW_tableContainer\"\u003e\n\u003cdiv class=\"group TyagGW_tableWrapper flex flex-col-reverse w-fit\" tabindex=\"-1\"\u003e\n\u003ctable class=\"w-fit min-w-(--thread-content-width)\"\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth class=\"last:pe-10\"\u003e\u003cstrong\u003eCaracteristică\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth class=\"last:pe-10\"\u003e\u003cstrong\u003eDetalii\u003c\/strong\u003e\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eTip\u003c\/td\u003e\n\u003ctd\u003eSuperchip CPU + GPU\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Grace Arm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNuclee CPU\u003c\/td\u003e\n\u003ctd\u003e20\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Blackwell\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eInterconectare\u003c\/td\u003e\n\u003ctd\u003eNVIDIA NVLink-C2C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemorie\u003c\/td\u003e\n\u003ctd\u003e128 GB unificată\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI Performance\u003c\/td\u003e\n\u003ctd\u003e1.000 TOPS FP4 Sparse\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUtilizare principală\u003c\/td\u003e\n\u003ctd\u003eAI development, fine-tuning și inference\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cp\u003e\u003cstrong\u003eImportant:\u003c\/strong\u003e specificația „CPU quantity: 2” din feed nu trebuie publicată. GB10 conține \u003cstrong\u003eun CPU Grace cu 20 de nuclee și un GPU Blackwell\u003c\/strong\u003e, integrate în același supercip; nu sunt două procesoare fizice independente. \u003cspan class=\"\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003ch2\u003eMemorie unificată\u003c\/h2\u003e\n\u003cdiv class=\"TyagGW_tableContainer\"\u003e\n\u003cdiv class=\"group TyagGW_tableWrapper flex flex-col-reverse w-fit\" tabindex=\"-1\"\u003e\n\u003ctable class=\"w-fit min-w-(--thread-content-width)\"\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth class=\"last:pe-10\"\u003e\u003cstrong\u003eCaracteristică\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth class=\"last:pe-10\"\u003e\u003cstrong\u003eDetalii\u003c\/strong\u003e\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eCapacitate\u003c\/td\u003e\n\u003ctd\u003e128 GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTip\u003c\/td\u003e\n\u003ctd\u003eLPDDR5x\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eArhitectură\u003c\/td\u003e\n\u003ctd\u003eUnified System Memory\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCoerență CPU-GPU\u003c\/td\u003e\n\u003ctd\u003eDa\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eInterfață\u003c\/td\u003e\n\u003ctd\u003e256-bit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBandwidth\u003c\/td\u003e\n\u003ctd\u003e273 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUpgrade\u003c\/td\u003e\n\u003ctd\u003eNu este indicat ca upgrade utilizator\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemorie GPU separată\u003c\/td\u003e\n\u003ctd\u003eNu\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cp\u003eAvantajul major față de o stație tradițională este că CPU-ul și GPU-ul lucrează cu un spațiu comun de memorie, util mai ales pentru modelele AI cu cerințe mari de memorie. \u003cspan class=\"\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003ch2\u003ePerformanță AI\u003c\/h2\u003e\n\u003cdiv class=\"TyagGW_tableContainer\"\u003e\n\u003cdiv class=\"group TyagGW_tableWrapper flex flex-col-reverse w-fit\" tabindex=\"-1\"\u003e\n\u003ctable class=\"w-fit min-w-(--thread-content-width)\"\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth class=\"last:pe-10\"\u003e\u003cstrong\u003eCaracteristică\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth class=\"last:pe-10\"\u003e\u003cstrong\u003eDetalii\u003c\/strong\u003e\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eTensor Performance\u003c\/td\u003e\n\u003ctd\u003e1.000 AI TOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePrecizie\u003c\/td\u003e\n\u003ctd\u003eFP4 Sparse\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEchivalent declarat\u003c\/td\u003e\n\u003ctd\u003eAproximativ 1 petaFLOP AI\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eModel maxim pe un singur sistem\u003c\/td\u003e\n\u003ctd\u003ePână la aproximativ 200B parametri\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eScalare cu două sisteme\u003c\/td\u003e\n\u003ctd\u003ePână la aproximativ 405B parametri\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI generativ\u003c\/td\u003e\n\u003ctd\u003eDa\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLLM inference\u003c\/td\u003e\n\u003ctd\u003eDa\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFine-tuning\u003c\/td\u003e\n\u003ctd\u003eDa\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMachine learning\u003c\/td\u003e\n\u003ctd\u003eDa\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDeep learning\u003c\/td\u003e\n\u003ctd\u003eDa\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cp\u003eMSI declară că un singur EdgeXpert poate lucra cu modele de până la aproximativ \u003cstrong\u003e200B parametri\u003c\/strong\u003e, iar două sisteme interconectate pot scala către modele de până la aproximativ \u003cstrong\u003e405B parametri\u003c\/strong\u003e. Performanța efectivă depinde de model, cuantizare, framework și workload. \u003cspan class=\"\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003ch2\u003eStocare\u003c\/h2\u003e\n\u003cdiv class=\"TyagGW_tableContainer\"\u003e\n\u003cdiv class=\"group TyagGW_tableWrapper flex flex-col-reverse w-fit\" tabindex=\"-1\"\u003e\n\u003ctable class=\"w-fit min-w-(--thread-content-width)\"\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth class=\"last:pe-10\"\u003e\u003cstrong\u003eCaracteristică\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth class=\"last:pe-10\"\u003e\u003cstrong\u003eDetalii\u003c\/strong\u003e\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eCapacitate instalată\u003c\/td\u003e\n\u003ctd\u003e4 TB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTip\u003c\/td\u003e\n\u003ctd\u003eSSD\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat\u003c\/td\u003e\n\u003ctd\u003eM.2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eInterfață\u003c\/td\u003e\n\u003ctd\u003eNVMe\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCriptare\u003c\/td\u003e\n\u003ctd\u003eSelf-encrypting\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAlte configurații oficiale\u003c\/td\u003e\n\u003ctd\u003e1 TB sau 4 TB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSlot M.2\u003c\/td\u003e\n\u003ctd\u003e1 × M-Key pentru SSD\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ch2\u003eRețea și interconectare\u003c\/h2\u003e\n\u003cdiv class=\"TyagGW_tableContainer\"\u003e\n\u003cdiv class=\"group TyagGW_tableWrapper flex flex-col-reverse w-fit\" tabindex=\"-1\"\u003e\n\u003ctable class=\"w-fit min-w-(--thread-content-width)\"\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth class=\"last:pe-10\"\u003e\u003cstrong\u003eCaracteristică\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth class=\"last:pe-10\"\u003e\u003cstrong\u003eDetalii\u003c\/strong\u003e\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eEthernet\u003c\/td\u003e\n\u003ctd\u003e10GbE\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePort Ethernet\u003c\/td\u003e\n\u003ctd\u003e1 × RJ-45\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSmart NIC\u003c\/td\u003e\n\u003ctd\u003eNVIDIA ConnectX-7\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eQSFP\u003c\/td\u003e\n\u003ctd\u003e2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWi-Fi\u003c\/td\u003e\n\u003ctd\u003eWi-Fi 7\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBluetooth\u003c\/td\u003e\n\u003ctd\u003e5.4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eConectivitate wireless\u003c\/td\u003e\n\u003ctd\u003eIntegrată\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eInterconectare sisteme AI\u003c\/td\u003e\n\u003ctd\u003eSuportată prin infrastructura de mare viteză compatibilă\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ch2\u003ePorturi și interfețe\u003c\/h2\u003e\n\u003cdiv class=\"TyagGW_tableContainer\"\u003e\n\u003cdiv class=\"group TyagGW_tableWrapper flex flex-col-reverse w-fit\" tabindex=\"-1\"\u003e\n\u003ctable class=\"w-fit min-w-(--thread-content-width)\"\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth class=\"last:pe-10\"\u003e\u003cstrong\u003ePort \/ interfață\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth class=\"last:pe-10\"\u003e\u003cstrong\u003eCantitate \/ Detalii\u003c\/strong\u003e\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSB-C\u003c\/td\u003e\n\u003ctd\u003e4 × USB 3.2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eHDMI\u003c\/td\u003e\n\u003ctd\u003e1 × HDMI 2.1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDisplayPort\u003c\/td\u003e\n\u003ctd\u003eDP 1.4a prin USB-C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEthernet\u003c\/td\u003e\n\u003ctd\u003e1 × RJ-45 10GbE\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eQSFP\u003c\/td\u003e\n\u003ctd\u003e2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAlimentare\u003c\/td\u003e\n\u003ctd\u003eUSB-C, adaptor extern\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAudio\u003c\/td\u003e\n\u003ctd\u003eHDMI multichannel audio\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ch2\u003eVideo și display-uri\u003c\/h2\u003e\n\u003cdiv class=\"TyagGW_tableContainer\"\u003e\n\u003cdiv class=\"group TyagGW_tableWrapper flex flex-col-reverse w-fit\" tabindex=\"-1\"\u003e\n\u003ctable class=\"w-fit min-w-(--thread-content-width)\"\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth class=\"last:pe-10\"\u003e\u003cstrong\u003eCaracteristică\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth class=\"last:pe-10\"\u003e\u003cstrong\u003eDetalii\u003c\/strong\u003e\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Blackwell\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eHDMI\u003c\/td\u003e\n\u003ctd\u003eHDMI 2.1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDisplayPort\u003c\/td\u003e\n\u003ctd\u003eDisplayPort 1.4a prin USB-C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDisplay-uri independente\u003c\/td\u003e\n\u003ctd\u003ePână la 4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNVENC\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNVDEC\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAudio\u003c\/td\u003e\n\u003ctd\u003eMultichannel prin HDMI\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cp\u003eMSI menționează până la patru display-uri independente și DisplayPort 1.4a disponibil prin USB-C. \u003cspan class=\"\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003ch2\u003eSoftware și ecosistem NVIDIA\u003c\/h2\u003e\n\u003cdiv class=\"TyagGW_tableContainer\"\u003e\n\u003cdiv class=\"group TyagGW_tableWrapper flex flex-col-reverse w-fit\" tabindex=\"-1\"\u003e\n\u003ctable class=\"w-fit min-w-(--thread-content-width)\"\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth class=\"last:pe-10\"\u003e\u003cstrong\u003eCaracteristică\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth class=\"last:pe-10\"\u003e\u003cstrong\u003eDetalii\u003c\/strong\u003e\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eSistem de operare\u003c\/td\u003e\n\u003ctd\u003eNVIDIA DGX OS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEcosistem\u003c\/td\u003e\n\u003ctd\u003eNVIDIA AI Software Stack\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI frameworks\u003c\/td\u003e\n\u003ctd\u003eCompatibil cu principalele framework-uri suportate de platforma NVIDIA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDezvoltare AI locală\u003c\/td\u003e\n\u003ctd\u003eDa\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eInference\u003c\/td\u003e\n\u003ctd\u003eDa\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFine-tuning\u003c\/td\u003e\n\u003ctd\u003eDa\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cp\u003eMSI îl descrie drept o soluție full-stack hardware + software pentru dezvoltatorii AI, nu ca pe un desktop Windows convențional. \u003cspan class=\"\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003ch2\u003eCondiții de funcționare\u003c\/h2\u003e\n\u003cdiv class=\"TyagGW_tableContainer\"\u003e\n\u003cdiv class=\"group TyagGW_tableWrapper flex flex-col-reverse w-fit\" tabindex=\"-1\"\u003e\n\u003ctable class=\"w-fit min-w-(--thread-content-width)\"\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth class=\"last:pe-10\"\u003e\u003cstrong\u003eCaracteristică\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth class=\"last:pe-10\"\u003e\u003cstrong\u003eDetalii\u003c\/strong\u003e\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eTemperatură funcționare\u003c\/td\u003e\n\u003ctd\u003e0–35°C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTemperatură depozitare\u003c\/td\u003e\n\u003ctd\u003e0–60°C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUmiditate funcționare\u003c\/td\u003e\n\u003ctd\u003e10–90%, fără condens\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUmiditate depozitare\u003c\/td\u003e\n\u003ctd\u003e10–90%, fără condens\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSistem răcire\u003c\/td\u003e\n\u003ctd\u003eSmart Fan\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cp\u003e\u003cstrong\u003eCorecție:\u003c\/strong\u003e valorile „10°C minimum și 90°C maximum pentru depozitare” din feed nu sunt conforme cu fișa actuală MSI. \u003cspan class=\"\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003ch2\u003eDimensiuni și construcție\u003c\/h2\u003e\n\u003cdiv class=\"TyagGW_tableContainer\"\u003e\n\u003cdiv class=\"group TyagGW_tableWrapper flex flex-col-reverse w-fit\" tabindex=\"-1\"\u003e\n\u003ctable class=\"w-fit min-w-(--thread-content-width)\"\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth class=\"last:pe-10\"\u003e\u003cstrong\u003eCaracteristică\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth class=\"last:pe-10\"\u003e\u003cstrong\u003eDetalii\u003c\/strong\u003e\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eLățime\u003c\/td\u003e\n\u003ctd\u003e151 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAdâncime\u003c\/td\u003e\n\u003ctd\u003e151 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eÎnălțime\u003c\/td\u003e\n\u003ctd\u003e52 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVolum\u003c\/td\u003e\n\u003ctd\u003eAproximativ 1,19 L\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGreutate sistem\u003c\/td\u003e\n\u003ctd\u003eAproximativ 1,2 kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCuloare\u003c\/td\u003e\n\u003ctd\u003eBlack\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRăcire activă\u003c\/td\u003e\n\u003ctd\u003eDa, Smart Fan\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ch2\u003eCertificări\u003c\/h2\u003e\n\u003cdiv class=\"TyagGW_tableContainer\"\u003e\n\u003cdiv class=\"group TyagGW_tableWrapper flex flex-col-reverse w-fit\" tabindex=\"-1\"\u003e\n\u003ctable class=\"w-fit min-w-(--thread-content-width)\"\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth class=\"last:pe-10\"\u003e\u003cstrong\u003eCertificare\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth class=\"last:pe-10\"\u003e\u003cstrong\u003eDetalii\u003c\/strong\u003e\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eCE\u003c\/td\u003e\n\u003ctd\u003eDa\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFCC Class B\u003c\/td\u003e\n\u003ctd\u003eDa\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUKCA\u003c\/td\u003e\n\u003ctd\u003eDa\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVCCI\u003c\/td\u003e\n\u003ctd\u003eDa\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBSMI\u003c\/td\u003e\n\u003ctd\u003eDa\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2\u003eDe ce să alegi acest produs?\u003c\/h2\u003e\n\u003cdiv class=\"TyagGW_tableContainer\"\u003e\n\u003cdiv class=\"group TyagGW_tableWrapper flex flex-col-reverse w-fit\" tabindex=\"-1\"\u003e\n\u003ctable class=\"w-fit min-w-(--thread-content-width)\"\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth class=\"last:pe-10\"\u003e\u003cstrong\u003ePotrivit pentru\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth class=\"last:pe-10\"\u003e\u003cstrong\u003eMotiv\u003c\/strong\u003e\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eDezvoltatori AI\u003c\/td\u003e\n\u003ctd\u003ePlatformă NVIDIA DGX Spark completă\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCercetători\u003c\/td\u003e\n\u003ctd\u003e128 GB memorie unificată pentru modele mari\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eData scientists\u003c\/td\u003e\n\u003ctd\u003eProcesare locală și stocare de 4 TB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLLM development\u003c\/td\u003e\n\u003ctd\u003ePână la aproximativ 200B parametri pe un sistem\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFine-tuning\u003c\/td\u003e\n\u003ctd\u003eGPU Blackwell și software NVIDIA optimizat\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCompanii\u003c\/td\u003e\n\u003ctd\u003eDatele pot fi procesate local\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEducație\u003c\/td\u003e\n\u003ctd\u003ePlatformă compactă pentru laboratoare AI\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFinTech\u003c\/td\u003e\n\u003ctd\u003eCalcul local pentru modele și simulări\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMachine vision\u003c\/td\u003e\n\u003ctd\u003eGPU Blackwell și ecosistem NVIDIA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAgentic AI\u003c\/td\u003e\n\u003ctd\u003ePlatformă destinată dezvoltării aplicațiilor AI moderne\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"TyagGW_tableContainer\"\u003e\n\u003cdiv class=\"group TyagGW_tableWrapper flex flex-col-reverse w-fit\" tabindex=\"-1\"\u003e\n\u003ctable class=\"w-fit min-w-(--thread-content-width)\"\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth class=\"last:pe-10\"\u003e\u003cstrong\u003eElement diferențiator\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth class=\"last:pe-10\"\u003e\u003cstrong\u003eCe oferă concret\u003c\/strong\u003e\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eNVIDIA GB10\u003c\/td\u003e\n\u003ctd\u003eCPU Grace + GPU Blackwell într-un singur superchip\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e1.000 AI TOPS\u003c\/td\u003e\n\u003ctd\u003ePerformanță FP4 pentru workload-uri AI\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e128 GB Unified Memory\u003c\/td\u003e\n\u003ctd\u003ePermite lucrul cu modele care depășesc VRAM-ul GPU-urilor desktop convenționale\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e273 GB\/s\u003c\/td\u003e\n\u003ctd\u003eLățime mare de bandă a memoriei\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e4 TB SSD\u003c\/td\u003e\n\u003ctd\u003eSpațiu pentru modele și dataset-uri\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eConnectX-7\u003c\/td\u003e\n\u003ctd\u003eNetworking profesional pentru AI\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDGX OS\u003c\/td\u003e\n\u003ctd\u003eSoftware optimizat pentru ecosistemul NVIDIA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e1,2 kg\u003c\/td\u003e\n\u003ctd\u003eSupercomputer AI într-un format compact\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ch2\u003eÎntrebări frecvente\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003e1. MSI EdgeXpert MS-C931 este un PC obișnuit?\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eNu. Este un personal AI supercomputer bazat pe platforma NVIDIA DGX Spark și conceput în primul rând pentru dezvoltare și inferență AI.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e2. Are două procesoare NVIDIA GB10?\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eNu. Sistemul are un singur superchip NVIDIA GB10, care integrează CPU-ul Grace cu 20 de nuclee și GPU-ul Blackwell.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e3. Ce înseamnă 1.000 AI TOPS?\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eEste performanța Tensor declarată în FP4 cu sparsity. Nu trebuie comparată direct cu TOPS declarate la alte precizii numerice fără a ține cont de metodologie.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e4. Are 128 GB RAM sau 128 GB VRAM?\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eAre \u003cstrong\u003e128 GB de memorie LPDDR5x unificată\u003c\/strong\u003e, partajată coerent de CPU și GPU. Nu este o configurație tradițională cu RAM și VRAM separate.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e5. Poate rula modele LLM local?\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eDa. MSI declară suport pentru modele de până la aproximativ 200 de miliarde de parametri pe un singur sistem, în condiții și formate compatibile.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e6. Se pot conecta două sisteme?\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eDa. MSI indică scalare la modele de până la aproximativ 405B parametri prin interconectarea a două sisteme compatibile.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e7. Include SSD de 4 TB?\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eDa, configurația descrisă include SSD NVMe M.2 de 4 TB cu funcție de auto-criptare.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e8. Are rețea de 10 Gbps?\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eDa. Dispune de Ethernet 10GbE și NVIDIA ConnectX-7.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e9. Rulează Windows 11?\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eSistemul este livrat și optimizat pentru \u003cstrong\u003eNVIDIA DGX OS\u003c\/strong\u003e. Nu trebuie prezentat ca un PC Windows standard.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e10. Are Bluetooth 5.3 sau 5.4?\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eFișa actuală MSI IPC indică \u003cstrong\u003eBluetooth 5.4\u003c\/strong\u003e. Unele pagini MSI mai vechi încă menționează 5.3, deci pentru listarea actuală folosesc specificația mai nouă de 5.4.\u003c\/p\u003e","brand":"MSI","offers":[{"title":"Default Title","offer_id":62017809809676,"sku":"4711377403511","price":36108.0,"currency_code":"RON","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0676\/3321\/7804\/files\/msi-edgexpert-personal-ai-supercomputer.png?v=1785851307","url":"https:\/\/digimart.ro\/products\/msi-edgexpert-ai-supercomputer-gb10-128gb-ssd-4tb","provider":"Digimart","version":"1.0","type":"link"}