{"product_id":"asus-expertcenter-pro-et900n-g3-gb300-ai-supercomputer","title":"ASUS ExpertCenter Pro ET900N G3 GB300 AI Supercomputer","description":"\u003ch2\u003e\u003cstrong\u003eASUS ExpertCenter Pro ET900N G3 GB300 AI Supercomputer with NVIDIA Grace Blackwell Ultra, 748GB Memory \u0026amp; Dual 400G Networking - Local Warranty \u003c\/strong\u003e\u003c\/h2\u003e\n\u003ch3 data-start=\"182\" data-end=\"255\"\u003e\u003cstrong data-start=\"182\" data-end=\"253\"\u003eEnterprise AI Supercomputer Powered by NVIDIA Grace Blackwell Ultra\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"257\" data-end=\"972\"\u003eThe ASUS ExpertCenter Pro ET900N G3 is ASUS's flagship AI supercomputer engineered to accelerate next-generation artificial intelligence, machine learning, and high-performance computing workloads. Powered by the NVIDIA Grace Blackwell Ultra (GB300) Superchip, it delivers exceptional AI performance with up to \u003cstrong data-start=\"568\" data-end=\"581\"\u003e20 PFLOPS\u003c\/strong\u003e of AI compute, enabling organisations to train, fine-tune, and deploy large language models (LLMs), generative AI applications, AI agents, computer vision, and scientific simulations directly within their own infrastructure. It is purpose-built for enterprises, research institutions, government agencies, and AI innovators seeking uncompromising performance with complete data sovereignty.\u003c\/p\u003e\n\u003ch3 data-start=\"974\" data-end=\"1029\"\u003e\u003cstrong data-start=\"974\" data-end=\"1027\"\u003eMassive 748GB Coherent Memory for Large AI Models\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"1031\" data-end=\"1537\"\u003eDesigned for today's most demanding AI workloads, the ExpertCenter Pro ET900N G3 features an incredible \u003cstrong data-start=\"1135\" data-end=\"1171\"\u003e748GB of coherent unified memory\u003c\/strong\u003e, allowing significantly larger AI models and datasets to be processed without the memory bottlenecks associated with conventional GPU systems. This unified memory architecture dramatically improves performance for inference, retrieval-augmented generation (RAG), AI agent frameworks, digital twins, engineering simulations, and data-intensive research applications.\u003c\/p\u003e\n\u003ch3 data-start=\"1539\" data-end=\"1592\"\u003e\u003cstrong data-start=\"1539\" data-end=\"1590\"\u003eUltra-Fast Dual 400G Networking for AI Clusters\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"1594\" data-end=\"2042\"\u003eThe system is equipped with \u003cstrong data-start=\"1622\" data-end=\"1672\"\u003edual NVIDIA ConnectX®-8 400GbE QSFP networking\u003c\/strong\u003e, enabling ultra-low latency communication between multiple AI nodes for distributed training and large-scale inference. Whether deployed as a standalone AI workstation or as part of an enterprise AI cluster, the ET900N G3 provides the networking bandwidth required for high-performance computing environments, research laboratories, universities, and private AI clouds.\u003c\/p\u003e\n\u003ch3 data-start=\"2044\" data-end=\"2113\"\u003e\u003cstrong data-start=\"2044\" data-end=\"2111\"\u003eEnterprise-Class Reliability and Future-Ready AI Infrastructure\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"2115\" data-end=\"2731\"\u003eBuilt for continuous enterprise operation, the ASUS ExpertCenter Pro ET900N G3 includes integrated Baseboard Management Controller (BMC) for secure remote monitoring and administration, support for NVIDIA Multi-Instance GPU (MIG) technology for multi-tenant AI environments, and enterprise-grade reliability for mission-critical deployments. It provides organisations with a scalable AI platform capable of supporting generative AI, foundation models, cybersecurity, healthcare, financial modelling, engineering, autonomous systems, and advanced scientific research while keeping sensitive data securely on-premises.\u003c\/p\u003e\n\u003ch3 data-start=\"2733\" data-end=\"2775\"\u003e\u003cstrong data-start=\"2733\" data-end=\"2773\"\u003eTechnical Specifications\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003e\u003cstrong\u003eGeneral\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eModel: ExpertCenter Pro ET900N G3\u003cbr\u003eProduct Name: ASUS ExpertCenter Pro ET900N G3 GB300 AI Supercomputer with NVIDIA Grace Blackwell Ultra, 748GB Memory \u0026amp; Dual 400G Networking\u003cbr\u003eManufacturer: ASUS\u003cbr\u003eProduct Series: ASUS ExpertCenter Pro\u003cbr\u003eProduct Type: Enterprise AI Supercomputer \/ AI Server\u003cbr\u003eCompute Platform: NVIDIA Grace Blackwell Ultra\u003cbr\u003eSuperchip Platform: NVIDIA GB300\u003cbr\u003eProcessor Architecture: NVIDIA Grace CPU + NVIDIA Blackwell Ultra GPU\u003cbr\u003eSystem Architecture: Unified CPU-GPU Accelerated Computing Platform\u003cbr\u003eForm Factor: Enterprise Rackmount AI System\u003cbr\u003eTarget Deployment: Enterprise Datacentres, AI Factories, Research Laboratories, Universities, Government Agencies and Cloud Infrastructure\u003cbr\u003ePrimary Workloads: AI Training, AI Fine-Tuning, AI Inferencing, AI Agents, Generative AI, Machine Learning, Deep Learning, Scientific Computing and High-Performance Computing\u003cbr\u003eOperating System: Enterprise Linux Distribution, Configuration Dependent\u003cbr\u003eRemote Management: Integrated Baseboard Management Controller\u003cbr\u003eMulti-Tenant Support: NVIDIA Multi-Instance GPU\u003cbr\u003eWarranty: ASUS Enterprise Warranty, Configuration Dependent\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eProcessor Specifications\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eProcessor Platform: NVIDIA Grace Blackwell Ultra GB300 Superchip\u003cbr\u003eCPU: NVIDIA Grace CPU\u003cbr\u003eCPU Architecture: Arm\u003cbr\u003eCPU Core Architecture: Arm Neoverse V2\u003cbr\u003eCPU Core Count: 72 Cores\u003cbr\u003eCPU-GPU Architecture: Tightly Coupled NVIDIA Grace and Blackwell Ultra Architecture\u003cbr\u003eCPU-GPU Interconnect: NVIDIA NVLink-C2C\u003cbr\u003eUnified CPU-GPU Address Space: Supported\u003cbr\u003eCoherent CPU-GPU Memory Access: Supported\u003cbr\u003eHigh-Speed CPU-GPU Data Transfer: Supported\u003cbr\u003eLarge-Scale Parallel Processing: Supported\u003cbr\u003eEnterprise AI Computing: Supported\u003cbr\u003eHigh-Performance Computing: Supported\u003cbr\u003eScientific Computing: Supported\u003cbr\u003eContinuous AI Workload Operation: Supported\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eAI Performance\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eMaximum AI Performance: Up to 20 PFLOPS\u003cbr\u003eAI Accelerator Architecture: NVIDIA Blackwell Ultra\u003cbr\u003eTransformer Engine: NVIDIA Blackwell Transformer Engine\u003cbr\u003eTensor Core Acceleration: Supported\u003cbr\u003eMixed-Precision AI Computing: Supported\u003cbr\u003eFP4 AI Computing: Supported\u003cbr\u003eFP8 AI Computing: Supported\u003cbr\u003eFP16 AI Computing: Supported\u003cbr\u003eBF16 AI Computing: Supported\u003cbr\u003eINT8 AI Inferencing: Supported\u003cbr\u003eDynamic Precision Management: Supported\u003cbr\u003eSparsity Acceleration: Supported\u003cbr\u003eLarge Language Model Acceleration: Supported\u003cbr\u003eFoundation Model Training: Supported\u003cbr\u003eFoundation Model Fine-Tuning: Supported\u003cbr\u003eGenerative AI Acceleration: Supported\u003cbr\u003eAI Agent Development: Supported\u003cbr\u003eReasoning Model Processing: Supported\u003cbr\u003eMultimodal AI Processing: Supported\u003cbr\u003eRetrieval-Augmented Generation: Supported\u003cbr\u003eEnterprise AI Inferencing: Supported\u003cbr\u003eDistributed AI Training: Supported\u003cbr\u003eScientific AI Processing: Supported\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eAI Features\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eLarge Language Model Training\u003cbr\u003eLarge Language Model Fine-Tuning\u003cbr\u003eFoundation Model Development\u003cbr\u003eGenerative AI Applications\u003cbr\u003eAgentic AI Workloads\u003cbr\u003eAI Agent Development and Deployment\u003cbr\u003eRetrieval-Augmented Generation\u003cbr\u003eMultimodal AI Processing\u003cbr\u003eNatural Language Processing\u003cbr\u003eComputer Vision\u003cbr\u003eSpeech Recognition\u003cbr\u003eSpeech Generation\u003cbr\u003eRecommendation Systems\u003cbr\u003ePredictive Analytics\u003cbr\u003eDigital Twin Simulation\u003cbr\u003eAutonomous Systems Development\u003cbr\u003eRobotics AI\u003cbr\u003eScientific Machine Learning\u003cbr\u003eDrug Discovery\u003cbr\u003eMolecular Modelling\u003cbr\u003eHealthcare AI\u003cbr\u003eFinancial Modelling\u003cbr\u003eFraud Detection\u003cbr\u003eCybersecurity AI\u003cbr\u003eManufacturing AI\u003cbr\u003eEnterprise Knowledge Assistants\u003cbr\u003ePrivate AI Deployment\u003cbr\u003eCloud-Native AI Deployment\u003cbr\u003eAI Factory Infrastructure\u003cbr\u003eProduction AI Inferencing\u003cbr\u003eMulti-User AI Development\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eMemory Specifications\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eTotal System Memory: 748GB\u003cbr\u003eMemory Architecture: NVIDIA Unified Coherent Memory\u003cbr\u003eCPU-GPU Shared Memory: Supported\u003cbr\u003eSingle Shared Memory Pool: Supported\u003cbr\u003eUnified Address Space: Supported\u003cbr\u003eMemory Coherency: Supported\u003cbr\u003eDirect CPU and GPU Memory Access: Supported\u003cbr\u003eHigh-Bandwidth Memory Architecture: Supported\u003cbr\u003eLow-Latency Data Access: Supported\u003cbr\u003eReduced CPU-GPU Data Movement: Supported\u003cbr\u003eLarge AI Model Loading: Supported\u003cbr\u003eLarge Context Window Processing: Supported\u003cbr\u003eMulti-Billion Parameter Model Support: Supported\u003cbr\u003eLarge Dataset Processing: Supported\u003cbr\u003eAI Model Fine-Tuning Support: Supported\u003cbr\u003eEnterprise Inferencing Support: Supported\u003cbr\u003eRetrieval-Augmented Generation Support: Supported\u003cbr\u003eVector Database Processing: Supported\u003cbr\u003eMemory Virtualisation: Supported\u003cbr\u003eMulti-Tenant Memory Allocation: Supported\u003cbr\u003eContinuous AI Pipeline Processing: Supported\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eStorage Specifications\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eStorage Technology: NVMe Solid-State Drive\u003cbr\u003eStorage Interface: PCI Express 5.0\u003cbr\u003eDrive Form Factor: M.2 2280\u003cbr\u003eStorage Slot Capacity: Up to 4 × M.2 2280 NVMe PCIe 5.0 SSD Slots\u003cbr\u003eMaximum Internal Storage Capacity: Up to 8TB Total Capacity When Fully Populated\u003cbr\u003eMaximum Capacity per Drive: Configuration Dependent\u003cbr\u003eBoot Drive Support: Supported\u003cbr\u003eEnterprise NVMe SSD Support: Supported\u003cbr\u003ePCIe Gen5 Storage Performance: Supported\u003cbr\u003eHigh-Speed AI Dataset Loading: Supported\u003cbr\u003eLarge AI Model Repository Support: Supported\u003cbr\u003eAI Model Checkpoint Storage: Supported\u003cbr\u003eVector Database Storage: Supported\u003cbr\u003eTraining Dataset Storage: Supported\u003cbr\u003eHigh-Speed Data Preprocessing: Supported\u003cbr\u003eContinuous Read and Write Workloads: Supported\u003cbr\u003eStorage Expansion: Supported\u003cbr\u003eRAID Support: Configuration Dependent\u003cbr\u003eHot-Swap Support: Configuration Dependent\u003cbr\u003eSelf-Encrypting Drive Support: Configuration Dependent\u003cbr\u003eStorage Health Monitoring: Supported\u003cbr\u003eRemote Storage Status Monitoring: Supported\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eGraphics Specifications\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eGPU Platform: NVIDIA Blackwell Ultra\u003cbr\u003eGPU Architecture: NVIDIA Blackwell Ultra\u003cbr\u003eGPU Type: Enterprise AI and HPC Accelerator\u003cbr\u003eTensor Cores: NVIDIA Tensor Cores\u003cbr\u003eTransformer Engine: Supported\u003cbr\u003eCUDA Parallel Computing: Supported\u003cbr\u003eCUDA Toolkit Compatibility: Supported\u003cbr\u003eNVIDIA cuDNN Compatibility: Supported\u003cbr\u003eNVIDIA TensorRT Compatibility: Supported\u003cbr\u003eNVIDIA RAPIDS Compatibility: Supported\u003cbr\u003eNVIDIA NeMo Compatibility: Supported\u003cbr\u003eNVIDIA NGC Container Compatibility: Supported\u003cbr\u003eNVIDIA AI Enterprise Compatibility: Supported\u003cbr\u003eGPUDirect RDMA: Supported\u003cbr\u003eGPUDirect Storage: Supported\u003cbr\u003eMulti-Instance GPU: Supported\u003cbr\u003eGPU Resource Partitioning: Supported\u003cbr\u003eSecure GPU Workload Isolation: Supported\u003cbr\u003eMulti-Tenant GPU Allocation: Supported\u003cbr\u003eEnterprise GPU Virtualisation: Supported\u003cbr\u003eMixed-Precision Computing: Supported\u003cbr\u003eLarge Language Model Acceleration: Supported\u003cbr\u003eScientific Simulation Acceleration: Supported\u003cbr\u003eHigh-Performance Data Analytics: Supported\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eNetworking Specifications\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eIntegrated Network Adapter: NVIDIA ConnectX-8\u003cbr\u003eNetwork Interface Type: High-Speed Enterprise AI Networking\u003cbr\u003eNetwork Ports: 2 × 400GbE QSFP Ports\u003cbr\u003eConnector Type: QSFP\u003cbr\u003eMaximum Per-Port Bandwidth: Up to 400Gbps\u003cbr\u003eMaximum Aggregate Network Bandwidth: Up to 800Gbps\u003cbr\u003eEthernet Support: Supported\u003cbr\u003eInfiniBand Support: Platform and Configuration Dependent\u003cbr\u003eRDMA Support: Supported\u003cbr\u003eRoCE Support: Supported\u003cbr\u003eRoCE v2 Support: Supported\u003cbr\u003eGPUDirect RDMA: Supported\u003cbr\u003eGPUDirect Storage: Supported\u003cbr\u003eUltra-Low-Latency Networking: Supported\u003cbr\u003eDistributed AI Training: Supported\u003cbr\u003eAI Cluster Interconnect: Supported\u003cbr\u003eHigh-Speed Storage Fabric: Supported\u003cbr\u003eScale-Out AI Infrastructure: Supported\u003cbr\u003eEnterprise AI Fabric Integration: Supported\u003cbr\u003eMulti-Node Model Training: Supported\u003cbr\u003eHigh-Performance Computing Cluster Support: Supported\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003ePorts \u0026amp; Expansion\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e2 × NVIDIA ConnectX-8 400GbE QSFP Network Ports\u003cbr\u003eUp to 4 × M.2 2280 NVMe PCIe 5.0 SSD Slots\u003cbr\u003ePCI Express 5.0 Expansion Support\u003cbr\u003eEnterprise Network Expansion Support\u003cbr\u003eHigh-Speed Storage Expansion Support\u003cbr\u003eAI Accelerator Expansion: Configuration Dependent\u003cbr\u003eManagement Network Port: Configuration Dependent\u003cbr\u003eUSB Ports: Configuration Dependent\u003cbr\u003eVideo Output: Configuration Dependent\u003cbr\u003eSerial Management Port: Configuration Dependent\u003cbr\u003eDedicated BMC Management Interface: Supported\u003cbr\u003eRack Infrastructure Integration: Supported\u003cbr\u003eFuture Enterprise Expansion: Supported\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eMulti-Tenant \u0026amp; Virtualisation Features\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eNVIDIA Multi-Instance GPU Support\u003cbr\u003eGPU Resource Partitioning\u003cbr\u003eSecure Workload Isolation\u003cbr\u003eMultiple Independent GPU Instances\u003cbr\u003eConcurrent AI Workload Processing\u003cbr\u003eMulti-User AI Development\u003cbr\u003eDepartment-Level Resource Allocation\u003cbr\u003eContainerised AI Workloads\u003cbr\u003eVirtual Machine Support\u003cbr\u003eEnterprise GPU Virtualisation\u003cbr\u003eCloud-Native AI Deployment\u003cbr\u003eKubernetes Resource Scheduling\u003cbr\u003eDocker Container Support\u003cbr\u003eRed Hat OpenShift Support\u003cbr\u003eWorkload-Orchestrated GPU Allocation\u003cbr\u003eShared AI Infrastructure Deployment\u003cbr\u003eImproved GPU Utilisation\u003cbr\u003eMulti-Tenant Enterprise AI Services\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eSecurity Features\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eSecure Boot\u003cbr\u003eFirmware Protection\u003cbr\u003eHardware Root of Trust\u003cbr\u003eTrusted Platform Module Support: Configuration Dependent\u003cbr\u003eRole-Based Access Control\u003cbr\u003eSecure Remote Management\u003cbr\u003eEncrypted Management Sessions\u003cbr\u003eBMC User Authentication\u003cbr\u003eManagement Account Separation\u003cbr\u003eSecure Firmware Updating\u003cbr\u003eSystem Event Logging\u003cbr\u003eHardware Health Monitoring\u003cbr\u003eAudit Logging\u003cbr\u003eSecure Workload Isolation\u003cbr\u003eMulti-Tenant GPU Isolation\u003cbr\u003eEnterprise Authentication Integration\u003cbr\u003eSelf-Encrypting SSD Support: Configuration Dependent\u003cbr\u003eDatacentre Security Integration\u003cbr\u003eRemote Access Control\u003cbr\u003eAdministrative Privilege Management\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eManagement Features\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eIntegrated Baseboard Management Controller\u003cbr\u003eOut-of-Band Management\u003cbr\u003eDedicated Remote Management\u003cbr\u003eRemote KVM Access\u003cbr\u003eRemote Console Access\u003cbr\u003eRemote Power On\u003cbr\u003eRemote Power Off\u003cbr\u003eRemote Power Cycling\u003cbr\u003eRemote System Reset\u003cbr\u003eRemote BIOS Configuration\u003cbr\u003eRemote Firmware Updates\u003cbr\u003eRemote Hardware Diagnostics\u003cbr\u003eSystem Health Monitoring\u003cbr\u003eProcessor Status Monitoring\u003cbr\u003eGPU Status Monitoring\u003cbr\u003eMemory Status Monitoring\u003cbr\u003eStorage Health Monitoring\u003cbr\u003eNetwork Status Monitoring\u003cbr\u003eTemperature Monitoring\u003cbr\u003eFan Speed Monitoring\u003cbr\u003eVoltage Monitoring\u003cbr\u003ePower Consumption Monitoring\u003cbr\u003eSystem Event Logging\u003cbr\u003eHardware Inventory Management\u003cbr\u003eAsset Management\u003cbr\u003eEnterprise Fleet Management\u003cbr\u003eAlert and Notification Support\u003cbr\u003e24×7 Remote Administration\u003cbr\u003eDatacentre Management Integration\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eSoftware \u0026amp; AI Framework Support\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eNVIDIA AI Enterprise\u003cbr\u003eNVIDIA CUDA Toolkit\u003cbr\u003eNVIDIA cuDNN\u003cbr\u003eNVIDIA TensorRT\u003cbr\u003eNVIDIA Triton Inference Server\u003cbr\u003eNVIDIA NeMo\u003cbr\u003eNVIDIA RAPIDS\u003cbr\u003eNVIDIA NGC Containers\u003cbr\u003ePyTorch\u003cbr\u003eTensorFlow\u003cbr\u003eJAX\u003cbr\u003eONNX Runtime\u003cbr\u003eHugging Face Transformers\u003cbr\u003eDeepSpeed\u003cbr\u003eMegatron-LM\u003cbr\u003eKubernetes\u003cbr\u003eDocker\u003cbr\u003eRed Hat OpenShift\u003cbr\u003eSlurm Workload Manager\u003cbr\u003eNVIDIA Base Command Manager\u003cbr\u003eMLflow\u003cbr\u003eRay\u003cbr\u003eApache Spark\u003cbr\u003eVector Database Platforms\u003cbr\u003eEnterprise MLOps Platforms\u003cbr\u003eAI Model Serving Frameworks\u003cbr\u003eDistributed Training Frameworks\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eOperating System Compatibility\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eUbuntu Server\u003cbr\u003eRed Hat Enterprise Linux\u003cbr\u003eRocky Linux\u003cbr\u003eSUSE Linux Enterprise Server\u003cbr\u003eNVIDIA-Certified Linux Environments\u003cbr\u003eEnterprise Linux Distributions\u003cbr\u003eContainer-Optimised Operating Environments\u003cbr\u003eOperating System Support: Configuration and Certification Dependent\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eCooling \u0026amp; Reliability\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eEnterprise Air-Cooled Architecture\u003cbr\u003eOptimised Datacentre Airflow\u003cbr\u003eHigh-Efficiency Thermal Management\u003cbr\u003eContinuous AI Workload Cooling\u003cbr\u003eCPU Thermal Monitoring\u003cbr\u003eGPU Thermal Monitoring\u003cbr\u003eMemory Thermal Monitoring\u003cbr\u003eStorage Thermal Monitoring\u003cbr\u003eVariable-Speed Fan Control\u003cbr\u003eSystem Fan Redundancy: Configuration Dependent\u003cbr\u003eThermal Protection\u003cbr\u003eAutomated Fan Management\u003cbr\u003eHardware Health Alerts\u003cbr\u003eHigh-Availability Design\u003cbr\u003eEnterprise-Grade Components\u003cbr\u003eContinuous 24×7 Operation\u003cbr\u003eLong-Duration AI Training Support\u003cbr\u003eDatacentre Rack Deployment Ready\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003ePower Specifications\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003ePower Supply Type: Enterprise High-Efficiency Power Supply\u003cbr\u003ePower Supply Configuration: Configuration Dependent\u003cbr\u003eRedundant Power Supply Support: Configuration Dependent\u003cbr\u003eHot-Plug Power Supply Support: Configuration Dependent\u003cbr\u003ePower Input: Datacentre AC Power, Configuration Dependent\u003cbr\u003ePower Consumption: Workload and Configuration Dependent\u003cbr\u003eRemote Power Monitoring: Supported\u003cbr\u003eRemote Power Control: Supported\u003cbr\u003ePower Usage Reporting: Supported\u003cbr\u003ePower Fault Monitoring: Supported\u003cbr\u003eContinuous High-Performance Operation: Supported\u003cbr\u003eDatacentre Power Optimisation: Supported\u003cbr\u003eEnergy-Efficient Workload Processing: Supported\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eCompatibility\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eCompatible AI Workloads:\u003c\/p\u003e\n\u003cp\u003eLarge Language Models\u003cbr\u003eFoundation Models\u003cbr\u003eGenerative AI\u003cbr\u003eAI Agents\u003cbr\u003eAgentic AI\u003cbr\u003eRetrieval-Augmented Generation\u003cbr\u003eReasoning Models\u003cbr\u003eMultimodal AI\u003cbr\u003eComputer Vision\u003cbr\u003eNatural Language Processing\u003cbr\u003eSpeech AI\u003cbr\u003eRecommendation Engines\u003cbr\u003eScientific Machine Learning\u003cbr\u003ePredictive Analytics\u003cbr\u003eDigital Twins\u003cbr\u003eAutonomous Systems\u003cbr\u003eEnterprise AI Inferencing\u003c\/p\u003e\n\u003cp\u003eCompatible Development Frameworks:\u003c\/p\u003e\n\u003cp\u003ePyTorch\u003cbr\u003eTensorFlow\u003cbr\u003eJAX\u003cbr\u003eONNX Runtime\u003cbr\u003eHugging Face Transformers\u003cbr\u003eDeepSpeed\u003cbr\u003eNVIDIA NeMo\u003cbr\u003eNVIDIA TensorRT\u003cbr\u003eNVIDIA Triton Inference Server\u003cbr\u003eNVIDIA RAPIDS\u003c\/p\u003e\n\u003cp\u003eCompatible Deployment Platforms:\u003c\/p\u003e\n\u003cp\u003eDocker\u003cbr\u003eKubernetes\u003cbr\u003eRed Hat OpenShift\u003cbr\u003eSlurm\u003cbr\u003eNVIDIA Base Command Manager\u003cbr\u003eEnterprise MLOps Platforms\u003cbr\u003ePrivate Cloud Infrastructure\u003cbr\u003eHybrid Cloud Infrastructure\u003cbr\u003eAI Factory Infrastructure\u003c\/p\u003e\n\u003cp\u003eCompatible Network Environments:\u003c\/p\u003e\n\u003cp\u003e400GbE Ethernet Fabrics\u003cbr\u003eNVIDIA ConnectX Networking\u003cbr\u003eRDMA Networks\u003cbr\u003eRoCE Networks\u003cbr\u003eHigh-Performance Storage Networks\u003cbr\u003eDistributed AI Clusters\u003cbr\u003eHigh-Performance Computing Clusters\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eDesign \u0026amp; Construction\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eEnterprise Rackmount Chassis\u003cbr\u003eDatacentre-Optimised Mechanical Design\u003cbr\u003eProfessional AI Server Construction\u003cbr\u003eHigh-Density Compute Architecture\u003cbr\u003eOptimised Front-to-Rear Airflow\u003cbr\u003eRack Installation Support\u003cbr\u003eEnterprise Cable Management\u003cbr\u003eServiceable Internal Components\u003cbr\u003eContinuous 24×7 Operational Design\u003cbr\u003eRemote Serviceability\u003cbr\u003eHigh-Availability Architecture\u003cbr\u003eDatacentre Integration Ready\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eEnvironmental Specifications\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eOperating Environment: Enterprise Datacentre\u003cbr\u003eOperating Temperature: Configuration Dependent\u003cbr\u003eStorage Temperature: Configuration Dependent\u003cbr\u003eOperating Humidity: Configuration Dependent\u003cbr\u003eStorage Humidity: Configuration Dependent\u003cbr\u003eMaximum Operating Altitude: Configuration Dependent\u003cbr\u003eThermal Monitoring: Supported\u003cbr\u003eEnvironmental Monitoring: Supported\u003cbr\u003eAirflow Requirement: Datacentre Front-to-Rear Airflow\u003cbr\u003eContinuous Operation: Supported\u003cbr\u003eCompliance and Certifications: Region and Configuration Dependent\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003ePhysical Specifications\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eProduct Type: Enterprise AI Supercomputer\u003cbr\u003eForm Factor: Rackmount AI Server\u003cbr\u003eRack Unit Height: Configuration Dependent\u003cbr\u003eChassis Colour: Black\u003cbr\u003eDimensions: Configuration Dependent\u003cbr\u003eSystem Weight: Configuration Dependent\u003cbr\u003eInstalled Weight: Configuration Dependent\u003cbr\u003eRack Mounting: Supported\u003cbr\u003eRail Kit: Configuration Dependent\u003cbr\u003eCable Management Arm: Configuration Dependent\u003cbr\u003eService Access: Enterprise Rack Service Design\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003ePackage Contents\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eASUS ExpertCenter Pro ET900N G3 AI Supercomputer\u003cbr\u003eNVIDIA Grace Blackwell Ultra GB300 Platform\u003cbr\u003eEnterprise Power Cables\u003cbr\u003eRack Mounting Rail Kit: Configuration Dependent\u003cbr\u003eCable Management Accessories: Configuration Dependent\u003cbr\u003eQuick Installation Guide\u003cbr\u003eSafety Documentation\u003cbr\u003eWarranty Documentation\u003cbr\u003eEnterprise Support Information\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eKey Features\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eNVIDIA Grace Blackwell Ultra GB300 Superchip\u003cbr\u003e72-Core NVIDIA Grace CPU\u003cbr\u003eArm Neoverse V2 CPU Architecture\u003cbr\u003eNVIDIA Blackwell Ultra GPU\u003cbr\u003eUp to 20 PFLOPS AI Performance\u003cbr\u003e748GB Unified Coherent Memory\u003cbr\u003eShared CPU-GPU Memory Architecture\u003cbr\u003eUp to 4 × M.2 2280 NVMe PCIe 5.0 SSD Slots\u003cbr\u003eUp to 8TB Total Internal NVMe Storage\u003cbr\u003eDual NVIDIA ConnectX-8 400GbE QSFP Networking\u003cbr\u003eUp to 800Gbps Aggregate Network Bandwidth\u003cbr\u003eNVIDIA Multi-Instance GPU Support\u003cbr\u003eSecure Multi-Tenant AI Workloads\u003cbr\u003eIntegrated Baseboard Management Controller\u003cbr\u003eOut-of-Band Remote Management\u003cbr\u003eNVIDIA AI Enterprise Ready\u003cbr\u003eCUDA and TensorRT Optimised\u003cbr\u003eDistributed AI Training Ready\u003cbr\u003eEnterprise AI Factory Deployment\u003cbr\u003eLarge Language Model Training and Inferencing\u003cbr\u003eHigh-Performance Computing Support\u003cbr\u003eEnterprise Rackmount Architecture\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003ePerformance \u0026amp; Features\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eThe ASUS ExpertCenter Pro ET900N G3 is an enterprise AI supercomputer powered by the NVIDIA Grace Blackwell Ultra GB300 platform. It combines a 72-core NVIDIA Grace CPU based on the Arm Neoverse V2 architecture with an NVIDIA Blackwell Ultra GPU to deliver up to 20 PFLOPS of AI performance for demanding model training, fine-tuning and production inferencing workloads.\u003c\/p\u003e\n\u003cp\u003eThe system features 748GB of coherent unified memory, allowing the Grace CPU and Blackwell Ultra GPU to access a shared memory pool through a unified address space. This architecture reduces unnecessary data transfers between separate CPU and GPU memory pools, improves processing efficiency and enables the system to handle larger language models, longer context windows and memory-intensive scientific applications.\u003c\/p\u003e\n\u003cp\u003eInternal storage supports up to four M.2 2280 NVMe PCIe 5.0 SSD slots, with a maximum total capacity of up to 8TB when fully populated. The PCIe Gen5 storage architecture provides high-speed access to training datasets, model checkpoints, vector databases, AI application containers and production inference assets.\u003c\/p\u003e\n\u003cp\u003eDual NVIDIA ConnectX-8 400GbE QSFP network interfaces provide up to 800Gbps of aggregate network bandwidth. Support for RDMA, RoCE, GPUDirect RDMA and GPUDirect Storage enables low-latency communication between compute nodes, storage systems and GPU resources in distributed AI and high-performance computing environments.\u003c\/p\u003e\n\u003cp\u003eNVIDIA Multi-Instance GPU technology allows the GPU to be partitioned into isolated processing instances for different users, departments or AI services. This enables organisations to run multiple workloads securely on the same platform while improving overall hardware utilisation and maintaining predictable resource allocation.\u003c\/p\u003e\n\u003cp\u003eThe integrated Baseboard Management Controller provides out-of-band access for remote administration, system monitoring, firmware management, diagnostics and power control. Administrators can monitor processor, GPU, memory, storage, networking, thermal and power conditions without requiring direct operating system access.\u003c\/p\u003e\n\u003cp\u003eSupport for NVIDIA AI Enterprise, CUDA, TensorRT, Triton Inference Server, NeMo, RAPIDS, PyTorch, TensorFlow, JAX, Kubernetes and Docker provides a comprehensive environment for developing, training, optimising and deploying enterprise AI applications.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eTypical Use Cases\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eLarge Language Model Training\u003cbr\u003eLarge Language Model Fine-Tuning\u003cbr\u003eFoundation Model Development\u003cbr\u003eGenerative AI Applications\u003cbr\u003eAI Agent Development\u003cbr\u003eAgentic AI Deployment\u003cbr\u003eRetrieval-Augmented Generation\u003cbr\u003eReasoning Model Processing\u003cbr\u003eMultimodal AI\u003cbr\u003eProduction AI Inferencing\u003cbr\u003eMachine Learning\u003cbr\u003eDeep Learning\u003cbr\u003eComputer Vision\u003cbr\u003eNatural Language Processing\u003cbr\u003eSpeech AI\u003cbr\u003eRecommendation Systems\u003cbr\u003eEnterprise Knowledge Assistants\u003cbr\u003eCybersecurity AI\u003cbr\u003eFinancial Services AI\u003cbr\u003eHealthcare AI Research\u003cbr\u003eDrug Discovery\u003cbr\u003eMolecular Simulation\u003cbr\u003eScientific Computing\u003cbr\u003eHigh-Performance Computing\u003cbr\u003eDigital Twin Simulation\u003cbr\u003eManufacturing AI\u003cbr\u003eAutonomous Systems Development\u003cbr\u003eRobotics Research\u003cbr\u003eUniversity Research Clusters\u003cbr\u003eGovernment AI Infrastructure\u003cbr\u003ePrivate AI Datacentres\u003cbr\u003eHybrid Cloud AI Infrastructure\u003cbr\u003eCloud Service Provider Infrastructure\u003cbr\u003eMulti-Tenant AI Platforms\u003cbr\u003eEnterprise AI Factories\u003c\/p\u003e","brand":"Asus","offers":[{"title":"Default Title","offer_id":51421362847908,"sku":"ET900N G3","price":124200.0,"currency_code":"SGD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0605\/0136\/0804\/files\/ASUSExpertCenterProET900N.png?v=1785222461","url":"https:\/\/sourceit.com.sg\/products\/asus-expertcenter-pro-et900n-g3-gb300-ai-supercomputer","provider":"SourceIT ","version":"1.0","type":"link"}