{"product_id":"gigabyte-ai-top-atom-personal-ai-computer-4tb-pcie4-0","title":"Gigabyte AI TOP ATOM Personal AI Computer 4TB (PCIe4.0)","description":"\u003ch2\u003e\n\u003cstrong\u003eGigabyte AI TOP ATOM Personal AI Computer 4TB (GB10 \/ 128GB LPDDR5x \/ \u003cspan style=\"color: rgb(255, 42, 0);\"\u003ePCIe4.0\u003c\/span\u003e 4TB NVMe M.2 SSD \/ NVIDIA DGX™ OS, Ubuntu Linux (ATAGB10-9000) - 3 Year Local Warranty \u003c\/strong\u003e\u003cimg style=\"float: none;\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0605\/0136\/0804\/files\/PAYMENT_c5b8024a-05dc-4143-ac51-3f8ffe6278be.png?v=1654750212\" alt=\"\"\u003e\n\u003c\/h2\u003e\n\u003cp data-start=\"1731\" data-end=\"2325\" data-is-last-node=\"\" data-is-only-node=\"\"\u003e\u003ciframe title=\"YouTube video player\" src=\"https:\/\/www.youtube.com\/embed\/Sd2Ie68OD_o?si=s0psw3fnKrfzFmAM\" height=\"315\" width=\"560\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\n\u003ch3 data-start=\"203\" data-end=\"265\"\u003e\u003cstrong data-start=\"203\" data-end=\"263\"\u003ePersonal AI Computing Platform for Advanced AI Workloads\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"267\" data-end=\"717\"\u003eThe Gigabyte AI TOP ATOM Personal AI Computer 4TB (ATAGB10-9000) is a powerful desktop AI system built for developers, researchers, educators, and enterprises seeking local AI computing capabilities. Powered by the NVIDIA GB10 platform and equipped with 128GB LPDDR5x unified memory, this compact AI workstation delivers the performance needed for artificial intelligence development, machine learning, generative AI, and data science applications.\u003c\/p\u003e\n\u003ch3 data-start=\"719\" data-end=\"777\"\u003e\u003cstrong data-start=\"719\" data-end=\"775\"\u003eDesigned for Large Language Models and Generative AI\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"779\" data-end=\"1183\"\u003eBuilt to support modern AI workflows, the Gigabyte AI TOP ATOM enables users to run large language models (LLMs), AI inference workloads, deep learning frameworks, retrieval-augmented generation (RAG), and AI-assisted software development locally. Organizations can accelerate AI innovation while maintaining greater control over sensitive datasets and reducing dependence on cloud computing resources.\u003c\/p\u003e\n\u003ch3 data-start=\"1185\" data-end=\"1239\"\u003e\u003cstrong data-start=\"1185\" data-end=\"1237\"\u003eHigh-Speed Memory and Storage for AI Development\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"1241\" data-end=\"1599\"\u003eFeaturing 128GB LPDDR5x unified memory and a 4TB PCIe 4.0 NVMe M.2 SSD, the system provides ample capacity for AI models, datasets, development environments, and enterprise applications. The high-speed storage subsystem ensures rapid data access and smooth operation when working with large AI workloads, research projects, and complex computational tasks.\u003c\/p\u003e\n\u003ch3 data-start=\"1601\" data-end=\"1651\"\u003e\u003cstrong data-start=\"1601\" data-end=\"1649\"\u003eOptimized AI Environment with NVIDIA DGX™ OS\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"1653\" data-end=\"2015\"\u003ePreloaded with NVIDIA DGX™ OS based on Ubuntu Linux, the Gigabyte AI TOP ATOM offers a professional AI development environment optimized for machine learning frameworks, AI toolkits, and data science applications. This enables developers and researchers to deploy, test, and scale AI projects efficiently using industry-standard software and development tools.\u003c\/p\u003e\n\u003ch3 data-start=\"2017\" data-end=\"2059\"\u003e\u003cstrong data-start=\"2017\" data-end=\"2057\"\u003eTechnical Specifications\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"0\" data-end=\"625\"\u003e\u003cstrong data-start=\"0\" data-end=\"11\"\u003eGeneral\u003c\/strong\u003e\u003cbr data-start=\"11\" data-end=\"14\"\u003eModel: AI TOP ATOM Personal AI Computer 4TB\u003cbr data-start=\"57\" data-end=\"60\"\u003ePart Number: ATAGB10-9000\u003cbr data-start=\"85\" data-end=\"88\"\u003eProduct Name: Gigabyte AI TOP ATOM Personal AI Computer 4TB\u003cbr data-start=\"147\" data-end=\"150\"\u003eManufacturer: \u003cspan class=\"hover:entity-accent entity-underline inline cursor-pointer align-baseline\"\u003e\u003cspan class=\"whitespace-normal\"\u003eGigabyte Technology\u003c\/span\u003e\u003c\/span\u003e\u003cbr data-start=\"201\" data-end=\"204\"\u003eProduct Type: Personal AI Supercomputer\u003cbr data-start=\"243\" data-end=\"246\"\u003ePlatform: NVIDIA GB10 Grace Blackwell Superchip\u003cbr data-start=\"293\" data-end=\"296\"\u003eForm Factor: Compact Desktop AI Computer\u003cbr data-start=\"336\" data-end=\"339\"\u003eOperating System: NVIDIA DGX™ OS, Ubuntu Linux\u003cbr data-start=\"385\" data-end=\"388\"\u003eTarget Users: AI Developers, Researchers, Data Scientists, Universities, Enterprise AI Teams\u003cbr data-start=\"480\" data-end=\"483\"\u003eDeployment Type: AI Development, Generative AI, Machine Learning, LLM Inference, Edge AI Computing\u003cbr data-start=\"581\" data-end=\"584\"\u003eWarranty: Manufacturer Limited Warranty\u003c\/p\u003e\n\u003cp data-start=\"627\" data-end=\"1008\"\u003e\u003cstrong data-start=\"627\" data-end=\"655\"\u003eProcessor Specifications\u003c\/strong\u003e\u003cbr data-start=\"655\" data-end=\"658\"\u003eProcessor Platform: NVIDIA GB10 Grace Blackwell Superchip\u003cbr data-start=\"715\" data-end=\"718\"\u003eCPU Architecture: NVIDIA Grace ARM Architecture\u003cbr data-start=\"765\" data-end=\"768\"\u003eCPU Configuration: 20-Core CPU\u003cbr data-start=\"798\" data-end=\"801\"\u003eCPU Core Layout: 10× Cortex-X925 + 10× Cortex-A725\u003cbr data-start=\"851\" data-end=\"854\"\u003eProcessor Performance: Optimized for AI, Data Science, and High-Performance Computing Workloads\u003cbr data-start=\"949\" data-end=\"952\"\u003eSystem Architecture: Unified CPU and GPU Memory Design\u003c\/p\u003e\n\u003cp data-start=\"1010\" data-end=\"1434\"\u003e\u003cstrong data-start=\"1010\" data-end=\"1032\"\u003eGPU Specifications\u003c\/strong\u003e\u003cbr data-start=\"1032\" data-end=\"1035\"\u003eGPU Architecture: NVIDIA Blackwell GPU\u003cbr data-start=\"1073\" data-end=\"1076\"\u003eCUDA Technology: Supported\u003cbr data-start=\"1102\" data-end=\"1105\"\u003eTensor Cores: Latest Generation Tensor Cores\u003cbr data-start=\"1149\" data-end=\"1152\"\u003eRay Tracing Cores: Supported\u003cbr data-start=\"1180\" data-end=\"1183\"\u003eAI Compute Performance: Up to 1 PetaFLOP FP4 AI Performance\u003cbr data-start=\"1242\" data-end=\"1245\"\u003eNVIDIA AI Software Stack: Supported\u003cbr data-start=\"1280\" data-end=\"1283\"\u003eGenerative AI Processing: Supported\u003cbr data-start=\"1318\" data-end=\"1321\"\u003eLarge Language Model (LLM) Support: Supported\u003cbr data-start=\"1366\" data-end=\"1369\"\u003eNVIDIA TensorRT: Supported\u003cbr data-start=\"1395\" data-end=\"1398\"\u003eNVIDIA CUDA-X Libraries: Supported\u003c\/p\u003e\n\u003cp data-start=\"1436\" data-end=\"1711\"\u003e\u003cstrong data-start=\"1436\" data-end=\"1461\"\u003eMemory Specifications\u003c\/strong\u003e\u003cbr data-start=\"1461\" data-end=\"1464\"\u003eInstalled Memory: 128 GB\u003cbr data-start=\"1488\" data-end=\"1491\"\u003eMemory Type: LPDDR5x Unified Memory\u003cbr data-start=\"1526\" data-end=\"1529\"\u003eMemory Architecture: Shared CPU-GPU Unified Memory\u003cbr data-start=\"1579\" data-end=\"1582\"\u003eMemory Bandwidth: Up to 273 GB\/s\u003cbr data-start=\"1614\" data-end=\"1617\"\u003eECC Protection: Supported\u003cbr data-start=\"1642\" data-end=\"1645\"\u003eAI Model Optimization: Designed for Large AI Models and Datasets\u003c\/p\u003e\n\u003cp data-start=\"1713\" data-end=\"1935\"\u003e\u003cstrong data-start=\"1713\" data-end=\"1739\"\u003eStorage Specifications\u003c\/strong\u003e\u003cbr data-start=\"1739\" data-end=\"1742\"\u003eInstalled Storage: 4 TB\u003cbr data-start=\"1765\" data-end=\"1768\"\u003eStorage Type: NVMe M.2 SSD\u003cbr data-start=\"1794\" data-end=\"1797\"\u003eSSD Interface: PCIe 4.0\u003cbr data-start=\"1820\" data-end=\"1823\"\u003eStorage Expansion: Configuration Dependent\u003cbr data-start=\"1865\" data-end=\"1868\"\u003eHigh-Speed Data Access: Supported\u003cbr data-start=\"1901\" data-end=\"1904\"\u003eAI Dataset Storage: Supported\u003c\/p\u003e\n\u003cp data-start=\"1937\" data-end=\"2367\"\u003e\u003cstrong data-start=\"1937\" data-end=\"1971\"\u003eAI \u0026amp; Machine Learning Features\u003c\/strong\u003e\u003cbr data-start=\"1971\" data-end=\"1974\"\u003eLarge Language Model (LLM) Development: Supported\u003cbr data-start=\"2023\" data-end=\"2026\"\u003eAI Inference: Supported\u003cbr data-start=\"2049\" data-end=\"2052\"\u003eAI Fine-Tuning: Supported\u003cbr data-start=\"2077\" data-end=\"2080\"\u003eRetrieval-Augmented Generation (RAG): Supported\u003cbr data-start=\"2127\" data-end=\"2130\"\u003eGenerative AI Applications: Supported\u003cbr data-start=\"2167\" data-end=\"2170\"\u003eAI Agent Development: Supported\u003cbr data-start=\"2201\" data-end=\"2204\"\u003eComputer Vision Workloads: Supported\u003cbr data-start=\"2240\" data-end=\"2243\"\u003eNatural Language Processing (NLP): Supported\u003cbr data-start=\"2287\" data-end=\"2290\"\u003eDeep Learning Framework Support: Supported\u003cbr data-start=\"2332\" data-end=\"2335\"\u003eLocal AI Processing: Supported\u003c\/p\u003e\n\u003cp data-start=\"2369\" data-end=\"2633\"\u003e\u003cstrong data-start=\"2369\" data-end=\"2403\"\u003eSoftware \u0026amp; Development Support\u003c\/strong\u003e\u003cbr data-start=\"2403\" data-end=\"2406\"\u003eOperating System: NVIDIA DGX™ OS\u003cbr data-start=\"2438\" data-end=\"2441\"\u003eLinux Distribution: Ubuntu Linux\u003cbr data-start=\"2473\" data-end=\"2476\"\u003eCUDA Toolkit: Supported\u003cbr data-start=\"2499\" data-end=\"2502\"\u003eNVIDIA TensorRT: Supported\u003cbr data-start=\"2528\" data-end=\"2531\"\u003eNVIDIA NIM Microservices: Supported\u003cbr data-start=\"2566\" data-end=\"2569\"\u003eDocker Support: Supported\u003cbr data-start=\"2594\" data-end=\"2597\"\u003eContainerized Workloads: Supported\u003c\/p\u003e\n\u003cp data-start=\"2635\" data-end=\"2724\"\u003eSupported AI Frameworks:\u003cbr data-start=\"2659\" data-end=\"2662\"\u003e• PyTorch\u003cbr data-start=\"2671\" data-end=\"2674\"\u003e• TensorFlow\u003cbr data-start=\"2686\" data-end=\"2689\"\u003e• JAX\u003cbr data-start=\"2694\" data-end=\"2697\"\u003e• ONNX Runtime\u003cbr data-start=\"2711\" data-end=\"2714\"\u003e• RAPIDS\u003c\/p\u003e\n\u003cp data-start=\"2726\" data-end=\"2932\"\u003e\u003cstrong data-start=\"2726\" data-end=\"2755\"\u003eNetworking Specifications\u003c\/strong\u003e\u003cbr data-start=\"2755\" data-end=\"2758\"\u003eEthernet: 10 Gigabit Ethernet (10GbE)\u003cbr data-start=\"2795\" data-end=\"2798\"\u003eWireless Connectivity: Wi-Fi 7\u003cbr data-start=\"2828\" data-end=\"2831\"\u003eBluetooth: Bluetooth 5.x\u003cbr data-start=\"2855\" data-end=\"2858\"\u003eRemote Access Support: Supported\u003cbr data-start=\"2890\" data-end=\"2893\"\u003eHigh-Speed Data Networking: Supported\u003c\/p\u003e\n\u003cp data-start=\"2934\" data-end=\"3146\"\u003e\u003cstrong data-start=\"2934\" data-end=\"2958\"\u003eConnectivity \u0026amp; Ports\u003c\/strong\u003e\u003cbr data-start=\"2958\" data-end=\"2961\"\u003eUSB Type-C Ports: Supported\u003cbr data-start=\"2988\" data-end=\"2991\"\u003eUSB Type-A Ports: Supported\u003cbr data-start=\"3018\" data-end=\"3021\"\u003eHDMI Output: Supported\u003cbr data-start=\"3043\" data-end=\"3046\"\u003eDisplay Connectivity: Supported\u003cbr data-start=\"3077\" data-end=\"3080\"\u003eRJ-45 Ethernet Port: Supported\u003cbr data-start=\"3110\" data-end=\"3113\"\u003ePeripheral Expansion: Supported\u003c\/p\u003e\n\u003cp data-start=\"3148\" data-end=\"3324\"\u003e\u003cstrong data-start=\"3148\" data-end=\"3169\"\u003eSecurity Features\u003c\/strong\u003e\u003cbr data-start=\"3169\" data-end=\"3172\"\u003eSecure Boot: Supported\u003cbr data-start=\"3194\" data-end=\"3197\"\u003eOperating System Security Updates: Supported\u003cbr data-start=\"3241\" data-end=\"3244\"\u003eEncrypted Storage Support: Supported\u003cbr data-start=\"3280\" data-end=\"3283\"\u003eEnterprise Security Features: Supported\u003c\/p\u003e\n\u003cp data-start=\"3326\" data-end=\"3467\"\u003e\u003cstrong data-start=\"3326\" data-end=\"3350\"\u003ePower Specifications\u003c\/strong\u003e\u003cbr data-start=\"3350\" data-end=\"3353\"\u003ePower Efficiency: Optimized for AI Computing\u003cbr data-start=\"3397\" data-end=\"3400\"\u003ePower Supply: Included\u003cbr data-start=\"3422\" data-end=\"3425\"\u003eEnergy Efficient Architecture: Supported\u003c\/p\u003e\n\u003cp data-start=\"3469\" data-end=\"3638\"\u003e\u003cstrong data-start=\"3469\" data-end=\"3495\"\u003eCooling Specifications\u003c\/strong\u003e\u003cbr data-start=\"3495\" data-end=\"3498\"\u003eCooling System: Active Cooling Design\u003cbr data-start=\"3535\" data-end=\"3538\"\u003eThermal Optimization: Supported\u003cbr data-start=\"3569\" data-end=\"3572\"\u003eAI Workload Cooling: Supported\u003cbr data-start=\"3602\" data-end=\"3605\"\u003eContinuous Operation: Supported\u003c\/p\u003e\n\u003cp data-start=\"3640\" data-end=\"3998\"\u003e\u003cstrong data-start=\"3640\" data-end=\"3663\"\u003eSupported Workloads\u003c\/strong\u003e\u003cbr data-start=\"3663\" data-end=\"3666\"\u003eLarge Language Models (LLMs)\u003cbr data-start=\"3694\" data-end=\"3697\"\u003eGenerative AI Applications\u003cbr data-start=\"3723\" data-end=\"3726\"\u003eAI Model Inference\u003cbr data-start=\"3744\" data-end=\"3747\"\u003eMachine Learning Development\u003cbr data-start=\"3775\" data-end=\"3778\"\u003eData Science Workloads\u003cbr data-start=\"3800\" data-end=\"3803\"\u003eComputer Vision Applications\u003cbr data-start=\"3831\" data-end=\"3834\"\u003eNatural Language Processing\u003cbr data-start=\"3861\" data-end=\"3864\"\u003eAI Agent Development\u003cbr data-start=\"3884\" data-end=\"3887\"\u003eResearch and Academic Computing\u003cbr data-start=\"3918\" data-end=\"3921\"\u003eEdge AI Deployments\u003cbr data-start=\"3940\" data-end=\"3943\"\u003eLocal AI Computing\u003cbr data-start=\"3961\" data-end=\"3964\"\u003eSoftware Development and Testing\u003c\/p\u003e\n\u003cp data-start=\"4000\" data-end=\"4234\"\u003e\u003cstrong data-start=\"4000\" data-end=\"4025\"\u003eDesign \u0026amp; Construction\u003c\/strong\u003e\u003cbr data-start=\"4025\" data-end=\"4028\"\u003eForm Factor: Compact Desktop AI Workstation\u003cbr data-start=\"4071\" data-end=\"4074\"\u003eChassis Design: AI Computing Optimized\u003cbr data-start=\"4112\" data-end=\"4115\"\u003eDeployment Flexibility: Office, Lab, Research, Enterprise Environment\u003cbr data-start=\"4184\" data-end=\"4187\"\u003eConstruction: Enterprise-Grade Compact Design\u003c\/p\u003e\n\u003cp data-start=\"4236\" data-end=\"4610\"\u003e\u003cstrong data-start=\"4236\" data-end=\"4248\"\u003eFeatures\u003c\/strong\u003e\u003cbr data-start=\"4248\" data-end=\"4251\"\u003eNVIDIA GB10 Grace Blackwell Superchip\u003cbr data-start=\"4288\" data-end=\"4291\"\u003e128 GB LPDDR5x Unified Memory\u003cbr data-start=\"4320\" data-end=\"4323\"\u003e4 TB PCIe 4.0 NVMe M.2 SSD\u003cbr data-start=\"4349\" data-end=\"4352\"\u003eNVIDIA Blackwell GPU Architecture\u003cbr data-start=\"4385\" data-end=\"4388\"\u003eUp to 1 PetaFLOP FP4 AI Performance\u003cbr data-start=\"4423\" data-end=\"4426\"\u003eNVIDIA DGX OS Preloaded\u003cbr data-start=\"4449\" data-end=\"4452\"\u003eUbuntu Linux Support\u003cbr data-start=\"4472\" data-end=\"4475\"\u003e10GbE Networking\u003cbr data-start=\"4491\" data-end=\"4494\"\u003eWi-Fi 7 Connectivity\u003cbr data-start=\"4514\" data-end=\"4517\"\u003eCompact Desktop Form Factor\u003cbr data-start=\"4544\" data-end=\"4547\"\u003eEnterprise AI Ready Platform\u003cbr data-start=\"4575\" data-end=\"4578\"\u003eLocal AI Processing Capability\u003c\/p\u003e\n\u003cp data-start=\"4612\" data-end=\"5174\"\u003e\u003cstrong data-start=\"4612\" data-end=\"4638\"\u003ePerformance \u0026amp; Features\u003c\/strong\u003e\u003cbr data-start=\"4638\" data-end=\"4641\"\u003eDesigned for local AI development and inference workloads\u003cbr data-start=\"4698\" data-end=\"4701\"\u003eSupports advanced generative AI applications without cloud dependency\u003cbr data-start=\"4770\" data-end=\"4773\"\u003eEnables experimentation and deployment of large language models\u003cbr data-start=\"4836\" data-end=\"4839\"\u003eProvides high-bandwidth unified memory architecture for AI workloads\u003cbr data-start=\"4907\" data-end=\"4910\"\u003eOptimized for developers, researchers, and enterprise AI teams\u003cbr data-start=\"4972\" data-end=\"4975\"\u003eSupports modern AI frameworks and NVIDIA software ecosystem\u003cbr data-start=\"5034\" data-end=\"5037\"\u003eOffers workstation-class AI performance in a compact desktop footprint\u003cbr data-start=\"5107\" data-end=\"5110\"\u003eBuilt for continuous AI computing and development environments\u003c\/p\u003e\n\u003cp data-start=\"5176\" data-end=\"5470\"\u003e\u003cstrong data-start=\"5176\" data-end=\"5203\"\u003ePhysical Specifications\u003c\/strong\u003e\u003cbr data-start=\"5203\" data-end=\"5206\"\u003eForm Factor: Compact Desktop AI Computer\u003cbr data-start=\"5246\" data-end=\"5249\"\u003eProcessor: NVIDIA GB10 Grace Blackwell Superchip\u003cbr data-start=\"5297\" data-end=\"5300\"\u003eMemory: 128 GB LPDDR5x Unified Memory\u003cbr data-start=\"5337\" data-end=\"5340\"\u003eStorage: 4 TB PCIe 4.0 NVMe M.2 SSD\u003cbr data-start=\"5375\" data-end=\"5378\"\u003eNetworking: 10GbE, Wi-Fi 7, Bluetooth 5.x\u003cbr data-start=\"5419\" data-end=\"5422\"\u003eOperating System: NVIDIA DGX™ OS, Ubuntu Linux\u003c\/p\u003e\n\u003cp data-start=\"5472\" data-end=\"5662\"\u003e\u003cstrong data-start=\"5472\" data-end=\"5492\"\u003ePackage Contents\u003c\/strong\u003e\u003cbr data-start=\"5492\" data-end=\"5495\"\u003eGigabyte AI TOP ATOM Personal AI Computer\u003cbr data-start=\"5536\" data-end=\"5539\"\u003ePower Adapter and Power Cable\u003cbr data-start=\"5568\" data-end=\"5571\"\u003eQuick Start Guide\u003cbr data-start=\"5588\" data-end=\"5591\"\u003eDocumentation\u003cbr data-start=\"5604\" data-end=\"5607\"\u003ePreloaded NVIDIA DGX™ OS and Ubuntu Linux Environment\u003c\/p\u003e\n\u003cp data-start=\"5664\" data-end=\"6104\"\u003e\u003cstrong data-start=\"5664\" data-end=\"5680\"\u003eKey Features\u003c\/strong\u003e\u003cbr data-start=\"5680\" data-end=\"5683\"\u003eNVIDIA GB10 Grace Blackwell Superchip\u003cbr data-start=\"5720\" data-end=\"5723\"\u003e128 GB LPDDR5x Unified Memory\u003cbr data-start=\"5752\" data-end=\"5755\"\u003e4 TB PCIe 4.0 NVMe M.2 SSD\u003cbr data-start=\"5781\" data-end=\"5784\"\u003eUp to 1 PetaFLOP FP4 AI Performance\u003cbr data-start=\"5819\" data-end=\"5822\"\u003eNVIDIA Blackwell GPU Architecture\u003cbr data-start=\"5855\" data-end=\"5858\"\u003eNVIDIA DGX™ OS Preinstalled\u003cbr data-start=\"5885\" data-end=\"5888\"\u003e10GbE Network Connectivity\u003cbr data-start=\"5914\" data-end=\"5917\"\u003eWi-Fi 7 and Bluetooth Support\u003cbr data-start=\"5946\" data-end=\"5949\"\u003eGenerative AI and LLM Ready\u003cbr data-start=\"5976\" data-end=\"5979\"\u003eCompact Desktop AI Workstation Design\u003cbr data-start=\"6016\" data-end=\"6019\"\u003eEnterprise and Research AI Development Platform\u003cbr data-start=\"6066\" data-end=\"6069\"\u003eOptimized for Local AI Processing\u003c\/p\u003e\n\u003cp data-start=\"6106\" data-end=\"6509\"\u003e\u003cstrong data-start=\"6106\" data-end=\"6127\"\u003eTypical Use Cases\u003c\/strong\u003e\u003cbr data-start=\"6127\" data-end=\"6130\"\u003eLarge Language Model (LLM) Inference\u003cbr data-start=\"6166\" data-end=\"6169\"\u003eAI Model Development\u003cbr data-start=\"6189\" data-end=\"6192\"\u003eGenerative AI Applications\u003cbr data-start=\"6218\" data-end=\"6221\"\u003eMachine Learning Research\u003cbr data-start=\"6246\" data-end=\"6249\"\u003eData Science Projects\u003cbr data-start=\"6270\" data-end=\"6273\"\u003eUniversity and Academic Research\u003cbr data-start=\"6305\" data-end=\"6308\"\u003eAI Agent Development\u003cbr data-start=\"6328\" data-end=\"6331\"\u003eComputer Vision Applications\u003cbr data-start=\"6359\" data-end=\"6362\"\u003eNatural Language Processing Workloads\u003cbr data-start=\"6399\" data-end=\"6402\"\u003eEnterprise AI Prototyping\u003cbr data-start=\"6427\" data-end=\"6430\"\u003eEdge AI Computing Deployments\u003cbr data-start=\"6459\" data-end=\"6462\"\u003eLocal AI Development Without Cloud Dependency\u003c\/p\u003e\n\u003cp data-start=\"6511\" data-end=\"6827\" data-is-last-node=\"\" data-is-only-node=\"\"\u003e\u003cstrong data-start=\"6511\" data-end=\"6535\"\u003eOrdering Information\u003c\/strong\u003e\u003cbr data-start=\"6535\" data-end=\"6538\"\u003eModel: Gigabyte AI TOP ATOM Personal AI Computer 4TB\u003cbr data-start=\"6590\" data-end=\"6593\"\u003ePart Number: ATAGB10-9000\u003cbr data-start=\"6618\" data-end=\"6621\"\u003eConfiguration: NVIDIA GB10 \/ 128GB LPDDR5x \/ PCIe 4.0 4TB NVMe M.2 SSD \/ NVIDIA DGX™ OS \/ Ubuntu Linux\u003c\/p\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":51373622362276,"sku":"ATAGB10-9001","price":7774.0,"currency_code":"SGD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0605\/0136\/0804\/files\/gigabyte-ai-top-atom-personal-ai-computer-4tb-3819840.jpg?v=1767711611","url":"https:\/\/sourceit.com.sg\/products\/gigabyte-ai-top-atom-personal-ai-computer-4tb-pcie4-0","provider":"SourceIT ","version":"1.0","type":"link"}