Huawei FusionServer 2288H V7 is a new generation 2U2 rack server designed for SDS, VDI, CDN, virtualization, big data, databases, cloud scenarios, AI inference, small businesses, OA, and web applications. This server has the advantages of low energy consumption, strong scalability, high reliability, easy management, and easy deployment, which can meet the needs of enterprise or telecommunications business applications and other complex workloads.
The main parameters include:
Processor: Supports 1/2 fourth or fifth generation Intel processors ® xeon ® Scalable processor, with a maximum support of 350W per processor (225W in some configurations) 23.
Memory: Equipped with 32 DDR5 memory slots, supporting flexible configuration, up to 4800MT/s. Through CXL technology, up to 16 DDR5 or DDR4 memory slots can be expanded, with a total of 48 slots.
Storage: Supports multiple hard drive configurations, including SAS/SATA/SSD and other types. Supports up to 45 2.5-inch hard drives or 34 full NVMe SSD solid-state drives, providing high-speed flash memory and ultra large capacity storage.
Scalability: Provides up to 19 PCIe expansion slots (including 17 standard PCIe expansion slots), supporting PCIe 5.0 protocol 23.
Energy consumption and efficiency: Adopting the industry’s unique fan&CPU total power consumption lowest algorithm, the whole machine can save up to 8% energy compared to the industry’s highest. Adopting industry-leading power technology, the efficiency is higher and the power loss is 12.5% lower than the industry.
Reliability and safety: Adopting the heat pipe extended heat dissipation technology with a 50% increase in single heat sink capacity, the heat dissipation is reliable and has stronger temperature adaptability. Integrating advanced security chips and encryption technology, supporting hardware level data encryption and identity authentication.
Applicable scenarios include:
FusionServer 2288H V7 is widely used in business scenarios such as SDS, VDI, CDN, virtualization, big data, databases, cloud scenarios, AI inference, small businesses, OA, and web applications, and can meet the high-performance computing and data processing needs in these scenarios
Post time: Oct-18-2024
