AI Neural Matrix 4U GPU SERVER

Overview

AI Neural Matrix 4U — 7× NVIDIA RTX PRO 6000 Blackwell Liquid-Cooled AI & Visualization ServerDatacenter-Class GPU Density in a 4U Rack Footprint The AI Neural Matrix 4U is a liquid-cooled, high-density multi-GPU server built around the LM TEK (EKWB) 4U8GPU10KW chassis, combining seven NVIDIA RTX PRO 6000 Blackwell Workstation Edition GPUs with a 64-core AMD Threadripper PRO 9985WX processor in a single 4U rack unit. The system is engineered for large-model AI training and inference, professional visualization, GPU-accelerated rendering, generative AI, deep learning, and scientific computing.Its defining feature is the chassis's custom liquid-cooling architecture. Seven high-performance GPUs operating simultaneously generate a thermal load that conventional air-cooled 4U designs are not built to sustain, typically requiring 6U to 8U or more of chassis space to provide adequate airflow. The LM TEK platform instead applies dedicated liquid cooling blocks to the CPU and to each individual GPU, moving heat out of the chassis through a closed liquid loop rather than through fan-driven air volume. This is what allows seven RTX PRO 6000 GPUs to be deployed at full 4U density The result is datacenter-class GPU throughput that can be operated in a standard server room or dedicated IT room, on infrastructure the business owns and controls, rather than requiring a purpose-built data hall or a recurring cloud GPU contract.Liquid Cooling Architecture The RTX PRO 6000 cards are supplied in their standard air-cooled form factor. Each card's stock cooling is replaced with a dedicated full-cover water block with active backplate, and the CPU is fitted with a separate cooling block. All eight cooled components tie into a single closed loop via EKWB cooling architecture.Advantages over conventional air cooling at this GPU density: Direct liquid heat transfer from the CPU and each GPU, rather than dependence on high-volume chassis airflow Cooling architecture engineered around the full seven-GPU + CPU thermal load as a single system Reduced footprint: 4U rack space versus 6U–8U+ typically required for air-cooled configurations at this GPU count Quick-disconnect fittings on each GPU loop segment allow an individual card to be removed for service or replacement without draining the entire loop Deploys in standard server-room conditions Liquid cooling manages heat transfer within the chassis; it does not eliminate the total heat output of the system. Adequate room-level HVAC and ventilation are still required for deployment.Component-Level UpgradabilityUnlike sealed or vendor-locked appliance-style AI servers, this platform is built on standard, individually serviceable components, allowing targeted upgrades as workloads or hardware generations change rather than requiring a full system replacement: Because the chassis, motherboard, PSU array, and liquid-cooling loop are standard, serviceable infrastructure rather than proprietary or single-generation hardware, the system is positioned to be upgraded component-by-component over its service life rather than retired as a whole unit when requirements grow. While the chassis supports up to 8 GPUs, the motherboard has only 7 PCIe x16 slots available. An 8 GPU configuration would neccesitate a motherboard swap.On-Premises Ownership vs. Cloud GPU RentalOwning this hardware outright shifts AI compute from a recurring operating expense to a fixed capital asset under the organization's direct control: No cloud GPU billing — compute capacity is paid for once, not metered by the hour or the token No dependency on cloud provider GPU availability or quota limits, which can constrain access to high-demand accelerators like the H200 during periods of high market demand Data stays on-premises, which can simplify compliance, data residency, and confidentiality requirements that off-site cloud processing complicates No requirement to build or lease a full data center to run data-center-class GPUs. The liquid-cooled 4U design is specifically what enables this hardware class to run in an existing server room or IT space instead Full administrative control over the software stack, scheduling, and workload prioritization, without sharing infrastructure with other tenants This is a capital hardware investment, and total cost of ownership depends on utilization, electricity costs, and how the hardware is used over its service life relative to the specific cloud alternative being compared against — an organization should size this against its own expected usage rather than treat it as a categorical replacement for cloud infrastructure in every scenario.Recommended Applications Large language model training, fine-tuning, and inference Generative AI and Retrieval-Augmented Generation (RAG) pipelines Multi-GPU deep learning and computer vision Scientific computing, engineering simulation, and HPC Professional visualization, GPU-accelerated rendering, and VFX Multi-user and multi-tenant GPU infrastructure Deployment Environments The AI Neural Matrix 4U is designed for enterprise server rooms, private data centers, AI research laboratories, university research facilities, dedicated corporate IT rooms, and professional VFX/rendering studios. Its liquid-cooling architecture reduces the airflow and space requirements typically associated with seven-GPU density, allowing deployment in a standard server room or IT closet with adequate electrical capacity and air conditioning.Appropriate electrical infrastructure, HVAC, and ventilation must be confirmed prior to installation,Key Specifications Frequently Asked QuestionsHow much GPU memory does the server come with? Is it a single unified pool?The server has 672GB combined physical memory across seven identical RTX PRO 6000 GPUs, each with 96GB dedicated GDDR7 ECC memory. It is not a single unified pool — multi-GPU workloads must be architected using model, tensor, or pipeline parallelism to utilize memory across cards.Why are the GPUS liquid-cooled if they ship air-cooled by default?Seven air-cooled workstation GPUs operating simultaneously in a 4U chassis would require airflow beyond what this form factor can practically support without significant noise and throttling risk. Liquid Cooling enables large GPU density at 4U rather than 8U or greater.Does this system require a dedicated data center?No. A server room or IT room with sufficient electrical capacity and air conditioning is sufficient. The liquid-cooling design is intended to reduce the infrastructure requirements normally associated with this GPU density.Can this system be upgraded later?Yes, the individual components are standard and non-properiety, and can be swapped or upgraded with ease.Can I use this in an office?Yes. It can be installed in an office provided there is a suitable dedicated IT/server area with sufficient electrical capacity, air conditioning, ventilation and rack infrastructure.Does it need a data center?No. The system does not inherently require a dedicated data center. It can be deployed in an appropriate server room, corporate IT room, AI laboratory, research facility or private data center. The installation must provide adequate power, cooling and ventilation.Can it run continuous AI workloads?Yes. The system is designed for sustained workloads including AI inference, model development, training, deep learning, and rendering. Is this suitable for LLMs?Yes. This server is suitable for LLM fine-tuning, inference, and serving workloads across multiple cards.Why does the system have five 2000W power supplies?The five 2000W PSUs are configured with redundancy, providing up to 8,000W of sustained power delivery for the complete six-H200 server platform. This redundant architecture means the system can continue operating in the event of a PSU failure, and the 8,000W sustained figure should not be interpreted as the server's typical or average power draw, which depends on actual workload and utilization.

• 9 items bundle
• Computers & Laptops
• Workstations
• AI Neural Matrix 4U GPU SERVER - Threadripper PRO 9985WX (64C/128T)
• 7x NVIDIA RTX PRO 6000 Blackwell 96GB
• 512GB DDR5 ECC 6400Mhz RAM
• 2x 4TB Gen5 NV
• AI Neural Matrix

Specifications

Specifications are compiled from manufacturer and supplier data. Confirm part numbers for compatibility-critical purchases.