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GPU & AI Chassis

IWILL G4838-P4 – GPU & AI Chassis

IWILL G4838-P4 gpu & ai chassis platform.

Request configuration and pricing.

Tell us the quantity and what it is for. Technical sales confirms the configuration, availability, lead time, and pricing.

Request a Quote

Collect several models and request one combined quote.

  • Configuration validated before quoting
  • Written quote with lead time & warranty terms
  • Single evaluation units available
  • Support up to 8 GPU cards (G4838)
  • Up to 8 pcs 2.5" wide GPU cards
  • Drive bays: up to 4 x 2.5-inch or NVME backplane
  • Support for standard motherboard up to 12"x13", requires 4.5 x16 slots and PCIE 4.0
  • 11 full-height PCI/PCIe vertical expansion slots

Platform overview

Built into your system, not just placed beside it.

The IWILL G4838-P4 is a multi-GPU server chassis from the IWILL GPU & AI Chassis range. It runs from supports standard CRPS power module, 4+1 power supply mode. Typical deployments include AI education, 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
L830mm*W637.6mm*H176mm
Material
Magang (environmentally friendly, fingerprint resistant 1.2mm SGCC)
Surface treatment
The front panel assembly is sprayed with sand grain black, and the rest is natural color
GPU support
Supports 8 double-wide turbine GPU cards (length 270mm)
Drive bays
Optional front 2*2.5-inch SATA or NVME backplane
Cooling
Motherboard with standard size of 12" x 13" and below. The motherboard needs to have at least 5 PCIe 4.0 x16 slots or 10 PCIe 4.0 x8 slots, etc.
Motherboard support
Motherboard with standard size of 12" x 13" and below. The motherboard requires 4 PCIE4.0 X16 slots or 6 PCIE4.0 X8 slots.
Expansion slots
11 full-height PCI/PCIE expansion slots, vertical insertion
External interface
Front 2 x USB 2.0 (optional 2 x USB 3.0)
Power input
supports standard CRPS power module, 4+1 power supply mode
Front I/O
Optional (depends on motherboard)

Typical applications

Where it deploys

  • AI education
  • Rendering
  • HPC
  • Deep machine education

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