Processor
All Intel AMD
Socket Qty
All 1P 2P 4P 8P
Form Factor
All 1U 2U 4U
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Server

1U

NEW

Golduck

1U1N2P AMD EPYC™ 7002 Series Processor-based System
  • Ground-up AMD EPYC™ SoC Design
  • Efficient Dual-socket System
  • 12x NVMe/SATA SSD in 1U Form Factor
  • High Scalability and Flexibility
  • Optimized Serviceability

2U

NEW

E850G4

OTII based Edge Computing Server
  • 2U1N2P (D: 450mm)
  • Up to 7x PCIe Gen3 slot
  • Up to 6+2 SFF SAS/SATA/NVMe Hot-plug Drives
  • Tooless Design of Serviceable Parts
  • Certified by Nvidia

 
NEW

Horsea

2U1N2P AMD EPYC™ 7002 Series Processor-based System
  • Best Virtualization Solution with Optimal TCO and Enhanced Security
  • Scalability Unleashed by Latest Technologies, from PCIe 4.0, OCP 3.0
  • Excellent Serviceability and Flexibility Brought by Modular Design

K900G4

2U4N Intel® Xeon® Processor Scalable Family based HPC Server System
  • High memory capacity and CPU density, ideal for HPC, Datacenters and Enterprise
  • Shared Infrastructure for Space, Power and Cost Efficiency  
  • Easy Service and Maintenance

K888G4

2U 1Node Intel® Xeon® Processor Scalable Family based Server System
  • Efficient Dual-socket System supporting onboard 10GbE Network Optimized Serviceability 
  • Flexible and Scalable IO Options
  • Verified Intel® Select Solution for NFVi Forwarding Platform

P47G4

2U 1 socket AMD® EPYC™ Processor Family based HPC Server System
  • Support latest GPGPU technologies, up to 4 AMD® Radeon Instinct™ GPGPUs
  • Best cost performance ratio for advancing HPC and AI applications

K405G4

2U 1 socket AMD® EPYC™ Processor Family based Server System
  • Ground-up AMD® EPYC™ SoC Design
  • Right-size Your Datacenter - Single-socket Solution with High Scalability and Storage Capacity
  • Multiple Storage Options

4U

NEW

P90G4

4U 8GPGPU Intel® Xeon® Processor Scalable Family based Server System
  • Support latest GPGPU technologies, up to 8 Nvidia® Tesla® or AMD® Radeon Instinct™ GPGPUs
  • 10GbE onboard + up to 100GbE standard PCIe networking option
  • Flexible GPGPU utilization 
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