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IWILL F-G791-H12-A8 product view 1 of 1

GPU & AI Chassis

IWILL F-G791-H12-A8

IWILL F-G791-H12-A8: Supports 2x 4th Gen-length GPU cards (6090/5090 spec) or AI accelerator cards.

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  • Support up to 8 GPU full-length cards for accelerator applications
  • Support up to 32 DDR5 DIMM slots (4400/4800/5600MHz)
  • Up to 8 pcs 2.5"/3.5" SATA/NVMe/SAS drives
  • Integrated BMC module for remote management (IPMI/SOL/KVM)
  • Redundant power supplies with routing of airflow (4+4 redundancy)

Platform overview

Built into your system, not just placed beside it.

The IWILL F-G791-H12-A8 is a multi-GPU server chassis from the IWILL GPU & AI Chassis range, built around Supports 2x 4th Gen-length GPU cards (6090/5090 spec) or AI accelerator cards. It runs from up to 8 CRPS power supplies (4 units per group, powering the motherboard and GPUs separately), supports hot-swapping and 4+4 redundancy, max 3200W. Typical deployments include cloud computing, rendering, HPC. Configuration, lead time, and US availability are confirmed per project; technical sales validates the exact build before issuing a written quotation.

Technical specifications

Dimensions
L820mm x W436mm x H311mm
Processor
Supports 2x 4th Gen-length GPU cards (6090/5090 spec) or AI accelerator cards
GPU support
Supports up to 8x full-length GPU cards (6090/5090 spec) or AI accelerator cards
Memory
32 DDR5 DIMM slots, supporting DDR5 4400/4800/5600MHz memory
Storage
Max supports 8 x 2.5"/3.5" SATA/NVMe/SAS hard drives
PCIe support
21 MCIO 5.0 interfaces, supporting expansion of 10G/25G/40G PCIe add-on cards
Other interfaces
1x Management Ethernet port, 1x OCP 3.0 port, 2x USB 3.0 ports
Remote control
Built-in BMC remote management module, supporting IPMI/KVM and other remote management functions
BMC
Integrated BMC AST2600 chip, supports IPMI 2.0 / Redfish protocols
Cooling
Chassis supports 8x N080 high-performance fans with high static pressure
Power input
Up to 8 CRPS power supplies (4 units per group, powering the motherboard and GPUs separately), supports hot-swapping and 4+4 redundancy, max 3200W

Typical applications

Where it deploys

  • Cloud computing
  • Rendering
  • HPC
  • Deep machine education
  • Big data

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