Datrix
Datrix
Explore our optimized xFusion compute architectures and custom GPU configurations, engineered for deep learning, virtualization, and massive scale out operations.
Datrix AI Computing Inc. is a professional manufacturer specializing in high-performance AI GPU servers, advanced workstations, and customized hardware configurations engineered for artificial intelligence training, deep learning, HPC, cloud computing, and scale-out enterprise operations.
Over more than a decade in the industry, our engineering teams have designed scalable computing options optimized for system integrators, distributors, research institutions, and enterprise clients worldwide. Our robust alignment with platforms like xFusion FusionServer architectures allows us to build solutions optimized for data density and compute performance.
Adapting to next-generation technologies to meet enterprise efficiency and processing requirements.
Enterprise demand for GPU-integrated infrastructure has increased with the rise of local Large Language Model (LLM) fine-tuning. Hardware like the xFusion FusionServer G8600 V7 utilizes high-bandwidth interconnects and PCIe switches to optimize communication pathways, facilitating deployment of large-scale models.
With CPU and GPU TDP scaling beyond traditional thresholds, thermal management is key. Technologies like structured liquid loops, multi-lane heat sink pipes, and optimized chassis design maintain reliable operating temperatures in high-density installations like the 5288 V6 and 2288H V6.
The implementation of Compute Express Link (CXL) in Intel Xeon Scalable architectures allows enterprises to share memory pools across nodes. Datrix works with systems incorporating DDR5 memory speeds, offering expandable RAM capacity up to 256GB and higher to minimize latency bottlenecking.
Analyzing key variables that global IT leaders consider when sourcing enterprise and xFusion server infrastructures.
With over 1,180 partners, Datrix helps prevent supply disruptions by stocking raw materials, chassis casings, logic boards, and processors to support consistent order fulfillment.
We focus on optimizing performance per watt. Efficient power supply options, like 1500W hot-swappable 80-Plus titanium units, help manage long-term datacenter energy consumption.
Global rollouts require compliance with regulatory standards. Our hardware meets testing and certification guidelines across North America, Europe, and Southeast Asia.
From custom BIOS configuration to specific server drive backplanes (e.g., 20*2.5 inch or 12*3.5 LFF formats), we adapt hardware to match specific target environments.
An architectural breakdown of the server designs utilized for enterprise workloads, data analytics, and deep learning.
The 2288H V6 is a versatile 2U, 2-socket rackmount server designed for hyperconverged infrastructure (HCI), cloud virtualization, and database management. It supports Intel Xeon Scalable processors, up to 20x 2.5-inch drive positions, high-speed SAS 9540-8i RAID interfaces, and features a redundant power configuration to maintain high availability.
The 2258 V7 is a 2U, 2-socket platform optimized for next-generation workloads. Compatible with high-density DDR5 memory configurations, it is well-suited for database engines, high-speed storage caching, and AI model serving. Drive configurations are available in 8*2.5-inch and 12*3.5-inch layouts.
Built for intensive AI workloads, the FusionServer G8600 V7 is an 8U rackmount server configured to house up to 8 accelerator modules (e.g., NVIDIA H100 or PCIe GPU configurations). It provides the high-bandwidth interconnections required for deep learning, scientific calculation, and complex neural net training.
How Datrix designs hardware deployments to address specific vertical industry needs.
Scientific research institutes and universities require compute configurations capable of processing massive calculations. Datrix configures dual-socket server architectures, dense memory nodes, and dedicated PCIe connectivity to support complex simulation engines and calculations.
Cloud service providers (CSPs) need hardware that supports high virtualization densities. Using the xFusion 2288H V6 hyperconverged setup, providers can allocate compute, memory, and high-speed NVMe storage blocks dynamically, helping to maximize hardware utilization.
For content delivery networks and structured database environments, we provide servers supporting up to 12*3.5-inch drive configurations (such as the 2258 V7 LFF). These systems offer high local storage capacity and can be integrated with external SAN or NAS networks.
A look at our testing processes, supply chain management, and regulatory compliance protocols.
Our QA team oversees testing from incoming materials to final product dispatch, helping to maintain performance standards across all server units.
Every node undergoes raw material checking, IPQC, system diagnostics, and burn-in testing to verify hardware reliability prior to shipment.
We customize hardware configurations, apply branded logos, design specific chassis configurations, and adapt BIOS microcode to match target environments.
How Datrix is planning for future server performance requirements and component standards.
We are working to integrate next-generation processor architectures into our chassis systems, supporting higher core counts, integrated AI accelerators, and improved energy efficiency.
With the development of higher-speed networking cards, we are testing configurations that support PCIe Gen 6.0 interfaces to improve data throughput for heavy AI models.
To help manage higher processor TDPs, we are developing hybrid cooling systems that combine liquid loops and optimized airflow configurations for mid-to-high density datacenters.
Detailed technical and operational answers to common inquiries from procurement officers and system integrators.
We work to configure hardware parameters, such as motherboard layouts, PCIe lane allocations, and BIOS settings, to align with xFusion standards. This helps maintain compatibility and performance across mixed-server environments.
Our quality process includes raw material checks, In-Process Quality Control (IPQC), functional validation, and burn-in testing under load. This process helps identify potential issues before the servers leave our facility.
Yes, we provide OEM/ODM customization services. This includes custom brand marking, specialized paint finishes, hardware configurations, and BIOS adjustments to meet specific client requirements.
Lead times vary depending on the order size and hardware configuration. Standard configurations are typically processed within 2–3 weeks, while highly customized ODM orders may require additional time.
Browse our additional rackmount server configurations, replacement units, and processing hardware designed to support high-density configurations.
