Data center cold plates are the core heat exchanger in modern direct-to-chip liquid cooling loops. If you’re validating or scaling a GPU/CPU platform, the cold plate must be predictable, leak-tight, and manufacturable under your real coolant, flow, and ΔP budget—not just “cool on paper”.
ToneCooling supplies custom data center cold plates for GPU/CPU loops, including reference builds for GB200-class, H200-class, AMD EPYC SP5, and Birch Stream-class platforms.
Need a manufacturable quote? Send your interface drawing + boundary conditions here: Cold Plate RFQ
- MOQ: 5 pcs (prototype)
- Engineering response: 1–3 business days (with complete inputs)
- Prototype lead time: 4–6 weeks (depending on complexity & validation scope)
- Fastest contact: WhatsApp +61 449 963 668 | Email sales@tonecooling.com
Data center cold plates: what they do in a GPU/CPU liquid cooling loop
Data center cold plates are liquid-cooled heat exchangers mounted directly on high-power chips (GPU/CPU). Coolant flows through internal channels and carries heat to the facility/CDU loop. In rack-scale deployments, cold-plate decisions are rarely “thermal only”—they are also about ΔP stability, leak risk, serviceability, and process repeatability across builds.
What procurement & thermal engineers measure in real projects
- Thermal repeatability across builds (flatness/contact control, consistent internal channels)
- Hydraulic behavior (ΔP) at design flow so the loop can be balanced across many nodes
- Leak risk under pressure, thermal cycling, and service events
- Coolant compatibility (DI water / EGW / PGW mixtures, inhibitors, cleanliness)
- Manufacturability (stable joining process, test coverage, scalable BOM)
- Program speed: fast input review, clear RFQ checklist, predictable prototype schedule
Reference cold plate builds (GPU/CPU) — for form factor & RFQ alignment
These pages document proven reference assemblies and the typical inputs teams provide during sourcing. Final designs are always aligned to your drawing, stack-up, and loop limits.
- GB200 GPU Cold Plate (Reference) — routing, QDC integration, strict ΔP budgets
- H200 GPU Cold Plate (Reference) — high heat flux, contact stability, verification under real coolant
- AMD EPYC SP5 CPU Cold Plate (Reference) — rack-scale repeatability, predictable ΔP, corrosion strategy
- Birch Stream CPU Cold Plate (500W Reference) — serviceability, low ΔP targets, documentation for scaling
Important: “Compatible with” refers to mechanical/thermal integration potential and does not imply affiliation or endorsement by any platform owner.
Fast RFQ path for data center cold plates (manufacturable quote)
If you want a quote that is manufacturable (not just a rough estimate), start with these two steps:
- Design Input Checklist — the minimum information needed to start
- Cold Plate RFQ — upload STEP/PDF + boundary conditions for pricing & lead time
Minimum inputs we need (procurement-ready)
- Interface drawing: STEP + PDF (mounting, envelope, port location constraints)
- Thermal: TDP + heat map (or hotspot assumptions) + target temperatures (if defined)
- Coolant & temperatures: DI/EGW/PGW, concentration, inlet temperature window
- Hydraulics: design flow + ΔP limit (per cold plate or per branch)
- Pressure: working pressure + proof expectations (and test method if specified)
- Volume plan: prototype → pilot → production
Cold plate ΔP budget: the #1 scaling constraint in GPU/CPU loops
In rack-scale direct-to-chip loops, ΔP budget determines whether every node receives enough flow. A cold plate can look great on a bench test but fail system-level balancing if its ΔP is too high or too sensitive to manufacturing variation.
Cold Plate ΔP Budget Guide for GPU/CPU Loops
Coolant compatibility for data center cold plates
Material choice, surface strategy, and cleanliness requirements must match your coolant chemistry. Data center cold plates are commonly used with DI water, EGW, and PGW mixtures. To reduce corrosion and deposit risk, specify concentration and inhibitor expectations early.
Coolant Compatibility for Data Center Cold Plates
Leak tightness & pressure testing (engineering trust)
“Leak-tight” depends on your program requirement, verification method, and acceptance criteria. Teams typically align on the verification method (e.g., pressure-based checks), working/proof pressure expectations, and validation at real coolant and temperature conditions.
Leak Tightness & Pressure Testing for Cold Plates
Quick disconnects (QDC) & manifolds
QDC and manifold choices affect uptime, service procedures, and leakage risk. We can build data center cold plates to your fitting standard and routing constraints, and support manifold concepts where the architecture requires it.
Quick Disconnects (QDC) & Manifolds — Practical RFQ Inputs
Cold plate materials & joining processes
Two data center cold plates can look similar but behave very differently over time. The difference is usually material selection, how the fluid cavity is sealed, distortion/flatness control, and verification coverage.
Cold Plate Materials & Joining Processes
Support Hub: data center cold plates (GPU/CPU)
- Design Input Checklist — minimum inputs for a fast quote
- Cold Plate ΔP Budget Guide — avoid flow starvation at scale
- Coolant Compatibility — DI/EGW/PGW, inhibitors, reliability notes
- Leak Tightness & Pressure Testing — verification options and RFQ spec language
- QDC & Manifolds — serviceability-focused integration inputs
- Materials & Joining Processes — why reliability differs in practice
FAQ — Data center cold plates
Q1: What’s the minimum information needed to start?
A: STEP/PDF interface + TDP/heat map + coolant & inlet temp + flow + ΔP limit. Use: Design Input Checklist
Q2: Can you design to a strict ΔP budget?
A: Yes. ΔP is treated as a primary constraint; channels and porting are tuned to balance thermal performance and hydraulic limits. See: ΔP Budget Guide
Q3: Which coolants do you support?
A: DI water, EGW, and PGW mixtures are common. Material selection and corrosion strategy should match coolant chemistry and temperature class. See: Coolant Compatibility
Q4: How do you verify leak-tightness and pressure capability?
A: Verification depends on your program; typical approaches include pressure-based verification plus flow/ΔP checks at real coolant conditions. See: Leak Tightness & Pressure Testing
Q5: Can you support QDC and manifold integration?
A: Yes. We can build to your fitting standard and routing constraints. See: QDC & Manifolds
Q6: What are typical prototype terms?
A: Typical MOQ is 5 pcs. Engineering response is 1–3 business days with complete inputs. Prototype lead time is typically 4–6 weeks. Start: Cold Plate RFQ
External references
- ASHRAE Journal extras (data center cooling references)
- NVIDIA Data Center platform overview
- AMD EPYC server processors overview
Trademark Notice
NVIDIA and AMD are trademarks of their respective owners. Our solutions may be compatible with certain platforms, but we are not affiliated with or endorsed by NVIDIA/AMD.
Request a Quote: Cold Plate RFQ
Request 2D/3D reference drawings: Submit an RFQ and select “CAD package request” in your message (or email sales@tonecooling.com).
Fastest contact: WhatsApp +61 449 963 668
