GIGABYTE (Giga Computing) vs ASUS for NVIDIA AI servers.
Side by side from our vendor index: what each firm actually designs, which NVIDIA platforms it ships, and the identity facts that shape a procurement decision. Sources and full detail live on each profile.
GIGABYTE (Giga Computing)
Giga Computing designs one of the broadest NVIDIA server catalogs in the market, from PCIe boxes to GB300 NVL72 racks, and sells it through channel with unusually public specs and pricing. Frequently the best spec-per-dollar quote in the ODM tier.
- Decades of in-house motherboard and server engineering heritage predating the 2023 spin-off
- G893 series: air-cooled rack supporting HGX B300 NVL16, up to 32 GPUs per rack
- G4L3 series: 4U liquid-cooled server with cold plates on all 8 GPUs and 2 CPUs
- G894-SD3-AAX7: 8U flagship on NVIDIA HGX B300
ASUS
ASUS designs ESC-series HGX servers and full AI PODs, an original MGX launch partner with its own board engineering. Its server arm is smaller than its brand suggests, but recent neocloud wins have made it a serious quote in AI tenders.
- In-house server design lineage since 1995; ESC GPU-server line and XA rack-scale line designed by its own Infrastructure Business Group
- Designed its own direct liquid cooling from the ground up, claiming PUE 1.18, spanning direct-to-chip, in-row CDU and hybrid configurations
- AI POD is ASUS's own NVIDIA-validated rack-scale reference architecture, evolved through GB300 NVL72 to Vera Rubin NVL72
- Small-volume AI server production in both the US and Taiwan
The right vendor depends on the workload, the facility and the timeline, not the brand. The assessment sizes both against your requirements and returns quoted pricing, with our margin disclosed.
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