Supermicro 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.
Supermicro
The reference pure-play. Supermicro designs boards, chassis, power and liquid cooling in-house and is routinely first to ship each NVIDIA generation, from HGX nodes to full GB300 NVL72 racks. For time-to-GPU it is usually the benchmark the rest of the market is measured against.
- DLC-2: second-generation in-house direct liquid cooling with own in-rack CDU (250kW) and in-row CDU (1.8MW); cold plates on CPU, GPU, memory, PCIe switches and VRMs, up to 98% heat capture, 45C inlet liquid
- Own server motherboard design lineage since 1995; current X14 (Intel) and H14 (AMD) platform families
- In-house BMC firmware stack and management tooling with Root-of-Trust on ASPEED silicon
- Data Center Building Block Solutions: end-to-end rack-scale integration including power shelves, coolant manifolds, networking and management software
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
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