Foxconn / Ingrasys vs Quanta / QCT 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.
Foxconn / Ingrasys
Hon Hai's server arm (Ingrasys, Foxconn Industrial Internet) is the volume leader in AI racks: it designs and builds GB200/GB300 NVL72 systems at a scale no one else matches, including for NVIDIA itself. Increasingly willing to sell rack-scale systems direct to large buyers.
- Ingrasys spans component-level design (chassis, boards) through L10 system integration to L12 rack-and-cluster integration, plus liquid cooling
- Secures over 50% of NVIDIA's HGX GPU baseboard orders per TrendForce
- Builds nearly 1,000 AI server racks per week, with ~40% of each rack's components made in-house, including 60-layer PCBs for GPU substrates (chairman statement)
- In-house liquid cooling: rack-level liquid-to-air sidecars and CDUs rated to 1,300kW, with Omniverse digital-twin simulation
Quanta / QCT
Quanta is the original hyperscale ODM and QCT is its direct-sale arm. It designs boards and rack systems for the largest clouds, and the same engineering is available over the counter through QCT for buyers who can self-support.
- Designs its own server boards and compute trays; builds complete GB200 NVL72 racks from 18x QuantaGrid D75B-1U trays
- Markets solutions validated at L10 (system), L11 (rack) and L12 (cluster) integration levels
- Dual-track model: custom ODM designs for hyperscalers (Meta, Google, Microsoft, AWS) plus NVIDIA reference systems sold under the QCT brand to enterprises and telcos
- Own rack-scale liquid-cooling line (QoolRack) removing up to 75kW of heat per rack, cutting cooling power up to 66.8% vs air
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.
Request an assessment