QSCompute Launches Full-Stack Liquid Cooling for AI Data Centers

June 29, 2026 · Product Launch · 4 min read

Why Liquid Cooling — Now

NVIDIA's GB200 NVL72 consumes 2,700W per chip. A single rack hits 130kW. Air cooling tops out around 20kW per rack. The math doesn't work anymore.

Every AI data center operator we talk to is facing the same inflection point: GPUs are outrunning air cooling, and the retrofit question is when, not if.

Market reality: Data center liquid cooling is growing at 18.2% CAGR — from $4.8B in 2025 to $27.1B by 2035 (Global Market Insights). NVIDIA's own GB300 reference design mandates direct-to-chip liquid cooling.

What We're Shipping

CategoryProductsKey Specs
GPU Cold PlatesCopper microchannel cold plates for A100, H100, H200, GB200 NVL72, RTX 5090Thermal resistance <0.02 cm·K/W, junction temp ≤75°C, single-phase & two-phase
CDU SystemsRack-level & row-level CDUs: 200kW, 500kW, 1MW+±0.5°C precision, PUE as low as 1.05, OCP-compliant, liquid-to-liquid & liquid-to-air
Quick-Disconnect FittingsUQD connectors, manifolds, blind-mate floating connectors, EPDM/FEP tubing100,000+ cycle life, 40MPa rated, drip-free (<0.001 mL/min)
Immersion Cooling FluidsFluorinated fluids (99.999%), synthetic oils, modified silicone oils>6 W/m·K thermal conductivity, 5+ year lifespan, 30–50% lower cost vs 3M

Why Buy From QSCompute

The liquid cooling supply chain is fragmented. Cold plates from Vendor A, CDU from Vendor B, fittings from Vendor C — and you're the one debugging compatibility.

We ship the full stack. One SKU, one contact, one warranty.

Plus: Ship from Shenzhen & Hong Kong. 15-day sample lead time on cold plates and fittings. Volume pricing on CDUs and fluids.

Planning a liquid-cooled AI cluster?

Tell us your GPU lineup and rack density — we'll spec the full cooling chain in 8 hours.

Get a Cooling Quote →