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Серверы, СХД и сетевое оборудование — поставки из Китая

Huawei Tower Server AI-Ready Enterprise Server

Server FusionServer 2288H V8

  • Intel Xeon 6 (6700P/6500P/6700E)
  • AI memory self-healing
  • Flexible 2U configuration
  • Enterprise-grade reliability

The Server FusionServer 2288H V8 is a next-generation intelligent 2U dual-socket rack server developed by xFusion. The platform combines Intel Xeon 6 architecture with an innovative AI-driven memory self-healing system and support for up to 4 double-width GPUs, making infrastructure ready for AI inference, cloud environments, and big data analytics. The versatile 2U design with a flexible drive subsystem (up to 45 LFF or 34 NVMe) suits a wide range of B2B workloads, while intelligent power management (up to 97% efficiency) and ASHRAE A1–A4 compliance ensure efficient 24/7 data center operation.

Ideal For AI Inference & General Purpose B2B
Download specification (PDF) 3 MB
Price at China warehouse (Horgos) $ 5 940
Price with VAT 22% $ 7 247 VAT: $ 1 307 (×1.22)
Price with customs clearance $ 7 971 Customs: $ 725 (×1.1)
Price with delivery $ 8 211 Delivery: $ 239 (×1.03)

* Base price is not a public offer and is valid for today only at the current exchange rate. Components are not included in the base price and are selected in the configurator.

In stock at Horgos warehouse
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Key Specifications

01

Intel Xeon 6 (6700P/6500P/6700E)

02

AI memory self-healing

03

Flexible 2U configuration

04

Enterprise-grade reliability

FusionServer 2288H V8 is a flagship 2U dual-socket server from xFusion built on Intel Xeon 6 (up to 128 cores per socket). Designed for AI inference, cloud computing, virtualization, and databases. Supports up to 4 double-width GPUs (450 W), 32 DDR5/MRDIMM slots (up to 8000 MT/s), and flexible drive bays (up to 45 LFF or 34 NVMe). Key technologies: AI memory self-healing (66% less downtime), 50% faster PCIe diagnostics, 97% efficient power supplies, and ASHRAE A1–A4 compliance. The optimal choice for building resilient AI infrastructure and consolidating enterprise workloads.

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