High-density, scalable, and energy-efficient rack servers optimized for modern workloads.
A comprehensive white paper on technical superiority and global deployment strategies.
The global server market is undergoing a seismic shift. As enterprises transition from legacy systems to AI-integrated architectures, the demand for the xFusion FusionServer V6 series has surged. Procurement heads are no longer just looking at raw CPU clock speeds; they are evaluating Total Cost of Ownership (TCO), energy efficiency ratios, and the ability to handle heterogeneous computing (CPU+GPU).
From North American cloud service providers to European financial institutions, the V6 rack server stands out as a "balanced powerhouse." It offers the perfect equilibrium between 3rd Gen Intel® Xeon® Scalable processors and massive NVMe storage throughput, making it the preferred choice for 2024-2025 infrastructure refresh cycles.
Optimized for VMware and KVM environments, allowing up to 40% more virtual machines per rack unit compared to V5 models.
Support for full-height, full-length GPU accelerators, transforming standard rack servers into AI inference engines.
Patented 80 Plus Titanium power supply units and intelligent fan speed control reducing carbon footprints.
xFusion's engineering philosophy focuses on "Infinite Scalability." The V6 architecture introduces the PCIe 4.0 interface, doubling the bandwidth of the previous generation. This is crucial for 100G/200G networking and ultra-fast SSD arrays. Looking forward, our roadmap includes liquid-cooling ready chassis for the V6 series, ensuring that even as thermal demands rise with next-gen AI chips, your hardware remains stable.
| Feature | FusionServer 1288H V6 | FusionServer 2288H V6 | FusionServer 2488H V6 |
|---|---|---|---|
| Form Factor | 1U 2-Socket | 2U 2-Socket | 2U 4-Socket |
| Drive Support | Up to 10 x 2.5" | Up to 25 x 2.5" / 12 x 3.5" | Up to 25 x 2.5" |
| Memory | 32x DDR4 DIMMs | 32x DDR4 DIMMs | 48x DDR4 DIMMs |
| Ideal Use Case | Cloud Computing, Web | Virtualization, Database | Mission-Critical, AI |
How xFusion V6 servers solve real-world industrial challenges.
Deploying 2288H V6 at the edge allows factories to process real-time telemetry data, reducing latency in automated assembly lines and enabling predictive maintenance through ML models.
The 4-socket 2488H V6 provides the massive memory footprint (up to 12TB) required for DNA sequencing and complex medical imaging analysis, accelerating patient outcomes.
With ultra-low latency networking cards and BIOS-level tuning for performance, the V6 series ensures millisecond precision for global financial markets.
Our servers meet strict global compliance standards, including CE, UL, and FCC, featuring TPM 2.0 and secure boot to protect national data assets.
AI Server Technology Co., Ltd. is a professional manufacturer and solution provider specializing in AI computing infrastructure. We focus on the design, development, and production of high-performance servers, PCIe switches, GPU baseboards, motherboard solutions, and retimer boards.
Our products are widely used in AI training, machine learning, high-performance computing (HPC), cloud data centers, and enterprise-level computing environments. With strong R&D capabilities and flexible OEM/ODM services, we are committed to delivering reliable, scalable, and high-efficiency AI server solutions for global customers.
Main Product Lines:
The V6 series utilizes 3rd Gen Intel Xeon Scalable processors, supports PCIe 4.0 (doubling bandwidth), and features enhanced thermal management and high-density memory support (up to 3200MT/s).
Yes, we provide localized support through our global partner network, ensuring compliance with local regulations and offering on-site maintenance services in major economic zones.
Absolutely. Models like the FusionServer 2488H V6 and 5288 V6 are specifically designed to house high-performance GPUs (like A100/H100) and large NVMe pools to support AI training and DeepSeek inference.
Typically, standard configurations are available within 2-4 weeks. Customized OEM/ODM solutions involving motherboard modifications may take 8-12 weeks depending on the complexity.