Diamond cooling and liquid cooling are not interchangeable choices. A diamond spreader improves heat flow away from a concentrated chip hotspot, while a liquid system transports captured heat out of the server. A practical AI server can use both: diamond at the package or coldplate interface and liquid channels or a coolant loop for system-level heat removal.
What “diamond cooling” and “liquid cooling” mean
In AI hardware discussions, “diamond cooling” usually describes a heat-spreading layer or structure placed close to a GPU, CPU, high-bandwidth memory (HBM), or another dense heat source. Diamond’s high thermal conductivity helps move heat laterally from a small, intense hotspot into a larger downstream interface. The diamond does not, by itself, reject heat into a room, a facility loop, or the outside environment. Its result depends on the attachment method, interface materials, geometry, contact resistance, and the cooling hardware that receives the heat next.
As an Amazon Associate I earn from qualifying purchases.
“Liquid cooling” describes a complete thermal-transport architecture. A coolant flows through a coldplate, microchannels, tubing, or another heat exchanger in contact with high-power components. The warmed fluid then carries energy to a manifold, rack heat exchanger, facility water loop, dry cooler, chiller, or other heat-rejection equipment. Hewlett Packard Enterprise (HPE) describes closed-loop, direct-liquid, and hybrid air-liquid arrangements; the suitable arrangement depends on the server design and the data-center installation. Its overview is available at HPE’s liquid-cooling overview.
That distinction prevents a common category error. A diamond layer can improve the first part of the thermal path—spreading heat at the device—whereas liquid cooling addresses the movement of heat away from the device and, when integrated with facility equipment, the final heat-rejection stages.
#1 Best Overall
- CONTACT FRAME FOR INTEL LGA1851 | LGA1700: Optimized contact pressure distribution for longer CPU life and better heat dissipation
- ARCTIC's P12 PRO FAN: More power at any speed - more powerful and quieter than the P12, especially at low speeds. Higher maximum speed for optimal cooling performance under high load
- NATIVE OFFSET MOUNTING FOR INTEL AND AMD: Shifting the cold plate center towards the CPU hotspot ensures more efficient heat transfer
- INTEGRATED VRM FAN: PWM-controlled fan that lowers the temperature of the voltage converters and thus ensures reliable performance
- INTEGRATED CABLE MANAGEMENT: The PWM cables of the radiator fans are integrated in the sheathing of the hoses so that only a single visible cable is connected to the motherboard
How heat travels from an AI chip to the facility
A useful way to compare the technologies is to follow the heat path:
- Junction: Transistors and memory cells generate heat inside the silicon package. The junction temperature is the temperature that most directly affects reliability, clock behavior, and throttling.
- Package and hotspot interface: Heat must cross the silicon, package layers, solder or other attachments, and a thermal interface. AI accelerators can have very concentrated hotspots, so local spreading resistance matters.
- Spreader or coldplate: A diamond structure can conduct heat sideways into a larger area. A coldplate, often metallic and liquid-cooled, receives heat and distributes it into flowing coolant. An integrated design can use a diamond spreader above or within a liquid coldplate.
- Server and rack loop: Tubing, manifolds, pumps and heat exchangers move the coolant through the server or rack. Some components may remain air-cooled in a hybrid design.
- Facility heat rejection: The rack loop transfers energy to building water, a chiller, a dry cooler, or another heat-rejection system. This stage determines much of the building’s plumbing, electrical and maintenance burden.
Improving one stage does not automatically improve every stage. Lowering a GPU hotspot with a spreader may allow higher sustained clocks, but the rack still needs a way to remove the resulting heat. Conversely, a powerful liquid loop can move heat efficiently while a poor package interface leaves a local junction hotspot that limits the accelerator.
Side-by-side comparison
| Decision factor | Diamond spreader | Liquid cooling | Combined design |
|---|---|---|---|
| Primary role | Lateral conduction away from a localized hotspot | Transport of heat in moving coolant | Spreading at the package plus coolant transport |
| Where it is integrated | Package, lid, interface or coldplate surface | Coldplate, channels, tubing, manifolds, rack and facility loop | Package/coldplate and the liquid loop are engineered together |
| What it does not provide alone | Facility heat rejection, pumps, plumbing or a complete server thermal system | It still needs compatible component interfaces and a heat-rejection path | Neither function can be omitted; the whole path must be specified |
| Key compatibility questions | Accelerator package geometry, mounting pressure, interface material, warranty | Accelerator coldplate, fluid chemistry, flow rate, manifolds, facility water and controls | All package, server, rack and building interfaces must align |
| Typical evidence | Thermal simulations, package measurements or vendor server data | System models, thermal tests, pump and facility measurements | Evidence must cover both hotspot temperature and sustained system operation |
| Main failure modes | Interface resistance, poor flatness, mechanical stress or insufficient downstream cooling | Leaks, pump or control failure, fouling, incompatible fluid, inadequate facility capacity | Any failure in either the package or liquid path can become the limiting factor |
Why an integrated diamond-and-liquid design can make sense
AI accelerators increasingly concentrate power in small areas. A spreader can enlarge the effective area presented to a coldplate, reducing the severity of a local hotspot before the coolant removes the heat. The value is therefore not “diamond instead of liquid,” but potentially lower thermal resistance between the junction and the liquid interface.
An IEEE-indexed conference paper titled Advanced Liquid Cooling for 2.5D ICs: Integrated Top Diamond Heat Spreader with Embedded Liquid Channels reports a simulated optimized maximum junction temperature of 61.6°C. That number belongs to the paper’s modeled 2.5D chip/package geometry; it is not a measured full-server result and does not constitute a diamond-versus-liquid head-to-head test. The record is available through IEEE Xplore. The public record exposes limited bibliographic detail, so the full paper should be consulted before assigning a more specific publication date or extrapolating the result to a deployed accelerator.
Frore Systems has announced a commercial example of the same general idea: LiquidJet Diamond is described as a liquid-cooling coldplate with an integrated diamond spreader. Its October 7, 2026 announcement says a demonstration reached a hotspot density of 770 W/cm² at the OCP Global Summit. That is a vendor-reported demonstration, not an independent server benchmark, and the announcement does not establish how the result maps to every accelerator or rack design. The announcement is at Frore Systems’ product release.
Rank #2
- CONTACT FRAME FOR INTEL LGA1851 | LGA1700: Optimized contact pressure distribution for longer CPU life and better heat dissipation
- ARCTIC's P12 PRO FAN: More power at any speed - more powerful and quieter than the P12, especially at low speeds. Higher maximum speed for optimal cooling performance under high load
- NATIVE OFFSET MOUNTING FOR INTEL AND AMD: Shifting the cold plate center towards the CPU hotspot ensures more efficient heat transfer
- INTEGRATED VRM FAN: PWM-controlled fan that lowers the temperature of the voltage converters and thus ensures reliable performance
- INTEGRATED CABLE MANAGEMENT: The PWM cables of the radiator fans are integrated in the sheathing of the hoses so that only a single visible cable is connected to the motherboard
What current commercial announcements actually claim
Akash Systems and AMD Instinct MI350X servers
On March 3, 2026, Akash Systems announced an AI server using AMD Instinct MI350X GPUs, manufactured by MiTAC Computing, with its Diamond Cooling technology. The release describes the diamond approach as additive and complementary to air and liquid cooling rather than a replacement for those systems. Akash reports the following figures for its specified server scenario:
- Up to 10°C lower GPU/HBM temperature.
- Up to 22% additional FLOPs per watt in standard ambient conditions.
- Up to 15% higher token throughput in high-ambient conditions.
- Up to 100% less power dedicated to cooling in a stated scenario.
These are claims from Akash’s announcement, not independently verified general results. The full release, including comments from Akash, AMD and MiTAC, is at Akash’s March 3, 2026 announcement. The terms “up to,” the ambient condition and the particular server configuration matter: they should not be converted into a guaranteed improvement for another accelerator, workload or facility.
Recommended Free Tools
Akash Systems and NVIDIA H200 delivery
In a separate February 23, 2026 announcement, Akash said it had delivered diamond-cooled NVIDIA H200 servers to NxtGen. The company reported a projected 15% GPU compute increase in high-ambient data centers and claimed operation at ambient temperatures up to 50°C (122°F). Those figures are also company-reported or projected for the announced deployment. They do not prove that every H200 installation can run at that temperature or that the same result would occur with a different rack loop, workload or power limit. The announcement is at Akash’s February 23, 2026 release.
Cooling cost and facility implications
Liquid cooling often shifts the engineering challenge from moving air to managing fluid, heat exchangers, pumps and building capacity. That can reduce fan energy and improve heat removal at high rack densities, but it requires compatible servers, distribution units, leak-management procedures and maintenance skills. A diamond spreader may be added at the server or package level without replacing the facility loop, yet it cannot eliminate the need to reject the server’s total heat.
HPE provides a modeled comparison for a 10,000-server data center: $2,167,700 per year for air-based cooling versus $297,400 per year for direct-liquid cooling, an 87.3% reduction. The same comparison reports 8,774 versus 1,204 annual tons of CO₂. HPE states assumptions about electricity pricing and rack configuration; these are not universal prices or a forecast for every facility. They also compare air and direct-liquid architectures, not a diamond-spreader server against a liquid server under controlled conditions. Treat the figures as an example of how facility scale and rack assumptions can dominate operating cost.
Rank #3
- CONTACT FRAME FOR INTEL LGA1851 | LGA1700: Optimized contact pressure distribution for longer CPU life and better heat dissipation
- ARCTIC's P12 PRO FAN: More power at any speed - more powerful and quieter than the P12, especially at low speeds. Higher maximum speed for optimal cooling performance under high load
- NATIVE OFFSET MOUNTING FOR INTEL AND AMD: Shifting the cold plate center towards the CPU hotspot ensures more efficient heat transfer
- INTEGRATED VRM FAN: PWM-controlled fan that lowers the temperature of the voltage converters and thus ensures reliable performance
- INTEGRATED CABLE MANAGEMENT: The PWM cables of the radiator fans are integrated in the sheathing of the hoses so that only a single visible cable is connected to the motherboard
How to choose an architecture for a real AI deployment
1. Define the thermal target
Specify the metric that determines success before selecting a material or loop. Useful targets include maximum junction temperature, HBM temperature, sustained accelerator clock, tokens per second, training throughput, energy used by the IT load, energy used by pumps and fans, and failure or throttling rate over a defined workload. A one-time temperature snapshot cannot substitute for sustained operation.
Outdated Drivers Are Slowing You Down
One free scan finds every outdated or missing driver and matches the right update for your exact hardware.Free scan · exact hardware matchWindows Errors? Fix Them Before They Spread
Repair common Windows errors and clear accumulated junk for a smoother, more stable PC - no reinstall needed.Free scan · no reinstall2. Map the existing thermal path
Document the accelerator package, thermal interface, coldplate or heatsink, server fans, rack manifold, facility water temperature, available flow, heat-rejection equipment and control points. Identify whether the site supports direct-to-chip liquid cooling, a rear-door heat exchanger, a closed server loop, or only air. A diamond component is relevant only where its output can enter a lower-resistance downstream path.
3. Check compatibility and support conditions
- Confirm the accelerator generation, package dimensions, mounting pressure and memory arrangement.
- Check fluid type, temperature, pressure, flow rate, material compatibility and filtration requirements for a liquid design.
- Verify rack power and heat density against the facility’s distribution units, pumps and heat exchangers.
- Ask whether modifying the package or coldplate affects the server warranty, service procedure or replacement inventory.
- Require documented firmware, telemetry and alert behavior for temperature, flow, pressure and leaks.
4. Compare total integration work
For a diamond spreader, include procurement, attachment, flatness control, interface materials, mechanical stress analysis, accelerator replacement procedures and the cost of any remaining liquid or air hardware. For liquid cooling, include coldplates, manifolds, pumps, distribution units, water treatment, leak detection, facility work, technician training and spare parts. Compare capital cost, recurring energy, maintenance windows and the consequence of a failure—not just the thermal conductivity of a material.
5. Demand like-for-like evidence
Request tests using the same accelerator model, power limit, workload, ambient temperature, inlet-fluid temperature, rack density and measurement locations. The minimum useful data set includes junction and HBM temperatures, sustained throughput, IT power, cooling power, coolant flow and pressure, fan speed, throttling events and run duration. Ask whether the result is measured, simulated, a vendor demonstration or a projection.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Deployment requirements and operating practices
Air, liquid and hybrid configurations
HPE’s overview distinguishes closed-loop systems, rack-level direct liquid cooling and hybrid systems in which liquid handles the highest-power components while air cools other parts. A hybrid arrangement can reduce the amount of facility plumbing when memory, networking or storage remain within air-cooling limits. It also creates two thermal domains that must be coordinated: air temperature and airflow for residual loads, and coolant temperature and flow for the accelerators.
Free tools Windows power users keep installed
One-click scans. No signup required.
Rank #4
- High-Speed Ceramic Bearing Pump: Our 360mm AIO is equipped with a premium ceramic bearing water pump running at 3000 RPM, ensuring ultra-long lifespan and stable operation, offering higher lift and faster flow for maximum cooling efficiency. Our CPU cooler delivers reliable performance even under heavy workloads, keeping your system cool and stable.
- Industrial-Grade Motor for Elite Cooling: Our AIO cooler 360mm is powered by an advanced 3-phase, 4-pole motor that minimizes vibration and noise for ultra-smooth, silent operation. Our cpu water cooler accelerates heat transfer and boosts coolant flow to maximize thermal performance, ensuring greater efficiency and long-term reliability.
- Smart PWM Fan Control for Quiet Efficiency: Our water cooler CPU is equipped with PWM-controlled fans that automatically adjust their speed based on your system’s temperature, delivering optimal airflow only when needed. Running at up to 1600 RPM, these fans offer a perfect balance of high airflow and low noise, making our cpu liquid cooler ideal for gamers, creators, and power users alike.
- Exclusive 12-Channel Radiator for Superior Heat Dissipation: Our CPU liquid cooler features a 12-path water-cooled radiator with a low-resistance hydraulic design and optimized fin density, maximizing surface contact for faster heat transfer and enhanced cooling performance.
- Daisy-Chained Fans for Cleaner, Simpler Cable Management: Our 360mm aio cooler comes with pre-installed 120mm fans featuring a daisy-chain design, allowing all fans to connect through a single 4-pin PWM and 5V ARGB header—dramatically reducing cable clutter and simplifying installation.
Facility and rack checks
- Measure available rack power and the rack’s allowable heat load, not only the nameplate wattage of a server.
- Verify supply and return temperatures at the intended flow rate during the hottest expected facility condition.
- Provide leak detection, isolation valves and a documented response procedure before installing liquid hardware.
- Plan service access for manifolds, pumps, filters, coldplates and quick-disconnects.
- Confirm that the building can reject heat when multiple racks train or serve workloads simultaneously.
- Keep telemetry for temperatures, flow, pressure, humidity and fan or pump speed in the same monitoring system as accelerator utilization.
Package and interface checks for diamond components
- Measure interface resistance after assembly; a high-resistance bond can erase the benefit of a high-conductivity spreader.
- Control surface flatness, mounting force and thermal-interface thickness across the entire accelerator package.
- Check mechanical and thermal expansion differences during repeated power cycles.
- Specify how a failed accelerator or spreader is removed without damaging the board, memory or coldplate.
Pitfalls that lead to misleading comparisons
Comparing unlike metrics
A 61.6°C simulated junction temperature, a 10°C vendor-reported temperature reduction, a 770 W/cm² hotspot demonstration and an 87.3% modeled cooling-cost reduction answer different questions. They cannot be ranked as if they were measurements from one test bench. Keep temperature, hotspot density, throughput, cost and emissions in separate columns when evaluating proposals.
Treating “up to” as a guaranteed result
Maximum or projected values generally describe a favorable configuration. Ask for the baseline, workload, ambient condition, power limit, sample size and measurement method. If those details are unavailable, use the figure to identify a claim to validate rather than as a planning guarantee.
Ignoring the downstream bottleneck
A spreader can lower a local hotspot while the coldplate, manifold, pump or facility heat exchanger remains undersized. Conversely, adding more liquid flow may not solve a package interface problem. Thermal resistance must be analyzed across the complete path from junction to heat rejection.
Assuming a generic PC cooler will fit an AI server
AI accelerators use different package dimensions, mounting hardware, power levels, memory layouts and service requirements than consumer graphics cards. The announcements discussed here concern enterprise servers or specialized coldplates; they do not establish a broadly compatible retrofit kit or consumer liquid cooler.
Do these 3 things before closing this tab:
1Repair Windows errors before they cause bigger problems2Fix the driver behind crashes, sound loss and screen glitches3Clear out junk files and repair common Windows errorsA practical validation plan
- Baseline the current server: Record accelerator and HBM temperatures, clocks, throughput, fan power, total IT power and ambient conditions during a repeatable workload.
- Instrument the thermal path: Add sensors for coolant inlet and outlet temperature, flow, pressure, pump power and facility return temperature where applicable.
- Run a steady-state test: Continue long enough to reach thermal equilibrium and capture throttling, control-loop changes and workload variation.
- Test the worst case: Use the highest supported accelerator power, hottest expected inlet air or coolant and the intended rack density.
- Compare equal workloads: Keep software, batch size, precision, power limits and accelerator count constant.
- Calculate total energy: Report IT energy and cooling energy separately, then together. Include pumps, fans, chillers and distribution equipment that the proposed design adds.
- Review reliability data: Examine leak events, thermal excursions, service time, interface degradation and repeated power-cycle behavior before scaling beyond a pilot rack.
How to read vendor statements
Akash Systems’ March 2026 release includes statements from company, AMD and MiTAC executives. Dr. Felix Ejeckam, Akash’s co-founder and chief executive, said, “Akash’s patented solution breaks through the thermal bottleneck to accelerate AI deployments, profitably.” AMD Corporate Vice President Travis Karr said, “Akash Systems’ Diamond Cooling® technology showcases how innovation can unlock new performance and efficiency from AMD Instinct™ GPUs.” MiTAC Computing President Rick Hwang said, “With our global manufacturing capacity and robust engineering capabilities, AI houses and hyperscaler data centers worldwide can quickly deploy these ultra-high performance, energy efficient systems to increase their compute power and gain a decisive competitive edge.” These are statements in a company release, not findings from a standards body or an independent test; the release is linked at Akash’s announcement.
Bottom line for architects
Choose based on the thermal bottleneck you actually have. Diamond technology is most relevant when package-level spreading and hotspot resistance limit an accelerator. Liquid cooling is the system architecture that carries heat away at high rack density and connects servers to facility heat rejection. In many advanced designs, the strongest option is an integrated diamond spreader and liquid coldplate, validated with measurements from junction to building loop.
There is no credible independent, controlled head-to-head comparison in the public material reviewed here that establishes diamond-cooled AI servers as cheaper or faster than liquid-cooled servers in general. A defensible procurement decision therefore compares integration effort, compatibility, facility requirements, sustained workload results, cooling energy, reliability and evidence quality under the same operating conditions.
Quick Recap
Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.
The Tool Desk
Outbyte PC Repair FREEClear out junk files and repair common Windows errorsFree Scan →Outbyte Driver Updater FREEFix the driver behind crashes, sound loss and screen glitchesFind Drivers →
