{"schema_version":"2026-09-05.topic-graph-v1","canonical_url":"https://www.manufacturing.ai/topics/liquid-cooling","topic":{"slug":"liquid-cooling","name":"Liquid Cooling, and the End of Air","description":"A sourced reference collection on how AI data centres stopped being cooled by air — the physics that made the switch inevitable, the coolant distribution unit that separates a building's water from a processor's, seven years of fleet reliability data from an operator that has actually run it, a chemicals regulation that quietly killed one cooling architecture, and the attempt to move the coolant inside the silicon.","coverage_notes":"Ninth packet, and the one with the best source base in the index so far — which is the reason to trust it, more than any single figure in it. Twenty-four sources were consulted: sixteen were retrieved and read, and eight were surfaced and set aside with a stated reason. Two of the reads returned HTTP 403 to the automated fetcher and were opened in a browser instead, which those sites' terms permit; no paywall, sign-in wall or bot-detection challenge was circumvented anywhere in this collection. The concentration problem that afflicts most hardware topics is milder here: the load-bearing operational claims come from Google, an operator publishing seven years of its own fleet data under named engineers' bylines in both a blog and a peer-reviewed conference paper, and they are cross-checked against a standards body's bulletin, a colocation operator writing from the facility side, two component manufacturers describing units built to someone else's published specification, a regulated financial filing, and a chemicals company's own announcement. NVIDIA appears only as a claimant: its architectural description is used, and every one of its efficiency, water and cost ratios is recorded as a claim and asserted nowhere, because none carries a stated baseline configuration. Where two read sources disagree — a conference write-up rendering Google's 4,000x heat-per-unit-volume figure as a thermal-conductivity ratio — the discrepancy is recorded on the source that carries it and the engineers' own published figures are the ones asserted. A vendor's dissent from the PFAS account is carried as a qualifying view attributed to the person who holds it, together with the reporter's check that undercuts it. Named gaps, in order of value: the Open Compute Project's Project Deschutes CDU specification itself, for which no stable direct URL was established, and which would settle whether the 2 MW / 3 degrees Celsius / 80 PSI figures are requirements or particular products' specifications; ASHRAE's technical bulletin and TC 9.9 Datacom series, which are sold rather than published, so everything attributed to ASHRAE here comes from trade reporting of the bulletin; the body of the ITherm paper beyond its abstract and Section I; a second independent treatment of the PFAS question that returned 403, leaving that story resting on one outlet; and Motivair's own announcement of its acquisition, which returned 403, leaving the transaction asserted from journalism rather than from either party. No completion date is asserted for Google's OCP contribution, because the announcement carrying it requires a signed-in session and was not read. Not yet editor-reviewed; every assertion reads as reported.","primer":"Start with the correction, because almost everything written about this gets it backwards. Liquid cooling is not new: computing equipment has been cooled by liquid using technologies developed by IBM and others since the 1960s. Air cooling is the interlude. The early-1990s shift from bipolar to CMOS circuits cut chip power density enough to make air economical for roughly a decade, densities returned to pre-1990s levels by the early 2000s, and liquid came back. What AI changed is the pace, not the direction.\n\nThe physics is not close. Google's engineers state that water transports approximately 4,000 times more heat per unit volume than air and has roughly 30 times the thermal conductivity, which is why liquid-cooled equipment takes up nearly half the volume of the air-cooled equivalent. The consequence is a ceiling you can put numbers on. Halls built a few years ago were designed for racks of 5 to 10 kilowatts. Air cooling is put at topping out near 15 kilowatts per rack. Direct-to-chip liquid cooling is in the range of 145. GPU racks today exceed 200 kilowatts, and both operators and vendors describe a trend toward 1 megawatt per rack, named as an industry target for 2030. Per-chip power did the same thing: about 300 watts in 2018, about 1,200 in 2024.\n\nMechanically it is four layers, and the interesting part is where each one ends. Two closed loops that never mix coolant — the building's water on one side, the water that touches a processor on the other — exchange heat through a plate heat exchanger inside a coolant distribution unit. From there a secondary loop reaches rack manifolds, sensors and control valves, and ends at a quick-disconnect coupling. In a colocation facility that coupling is the natural boundary between the operator's responsibility and the customer's, except that the coolant itself crosses it, so neither party owns fluid chemistry and both must maintain it. Cooling is the one colocation service that cannot be cleanly divided.\n\nThe best evidence in this collection is an operating record rather than a specification. Google has run liquid cooling at gigawatt scale across more than 2,000 TPU pods over seven years, from TPU v3 through Ironwood, reporting fleet-wide uptime consistently at about 99.999% and coolant-distribution-unit availability of about 99.999% since 2020 — achieved by making the pump and heat-exchanger unit redundant and backing it with UPS, six units to a rack where five suffice. In April 2025 it said it would open the fifth-generation design, Project Deschutes, through the Open Compute Project. Manufacturers building to it state 2 megawatts of capacity, a 3 degree Celsius approach temperature difference, 80 PSI of available pressure and 0.2 micron side-stream filtration. Two unrelated companies, Boyd and Nidec, have built units to it — a specification behaving like a specification.\n\nThe failure mode is measured in seconds, not degrees. ASHRAE's technical bulletin says chip power is moving into uncharted territory and that the loss of cooling can be catastrophic at extreme chip powers, naming two concerns: throttling from temperature excursions, and hardware damage from rapid spikes. Its mitigations are mostly about buying time — thermal inertia against load steps and power loss, active redundancy that holds cooling through the changeover rather than after it, transient modelling where no test data exists, and load-migration plans that fit inside the minimum server time-to-throttle under the worst-case failure the design allows. That last phrase is the real design constant.\n\nOne architecture was removed by a chemicals decision rather than an engineering one. Two-phase immersion, which lets the coolant boil, depended in practice on fluorinated fluids; on 20 December 2022 3M announced it would exit all PFAS manufacturing by the end of 2025, against roughly $1.3 billion of annual net sales and up to $2.3 billion of pre-tax charges. 3M's own announcement never mentions cooling — the link is made by trade reporting, which also records the EPA classifying some PFAS as hazardous and notes that single-phase immersion was largely unaffected because it can run on mineral or plant-based oils. A two-phase vendor's chief executive argued the impact was limited and that better alternatives existed; asked which, he named suppliers including one whose replacement fluid is itself a PFAS. That objection is recorded here, attributed, not adopted.\n\nThe move being announced now is to stop bolting a cold plate on and etch the channels into the silicon. Microsoft, with the Swiss startup Corintis, reported in September 2025 hair-width channels in an AI-designed leaf-vein pattern steering coolant to workload hotspots, with up to three times better heat removal than cold plates and up to a 65 percent reduction in peak silicon temperature rise in a GPU — laboratory results on a test chip, explicitly varying by chip and workload. Two things temper it. IBM demonstrated water-cooled 3D chip stacks in 2008 and DARPA funded intra-chip cooling from 2013, and none of it reached a shipping data-centre product. And the open questions are unanswered: yield, defect rates from the extra fabrication steps, who is liable for a leak found after assembly, no fleet reliability data, no interface standards, no retrofit path, no production date.\n\nWhat is missing is named. The specification two manufacturers say they built to was not read, so its figures come from them rather than from it. ASHRAE sells its bulletins, so everything attributed to ASHRAE here comes from reporting of the bulletin rather than the bulletin. The peer-reviewed paper on Google's fleet was read only as far as its abstract and introduction; the body is behind a sign-in wall that was not circumvented. And a second independent treatment of the PFAS question returned 403 and was not pursued, so that story rests on one outlet.","primer_note":"Manufacturing.ai's own editorial synthesis, not evidence. Every factual statement in it is separately asserted and sourced in this response's concepts and events.","reviewed_through_date":null,"source_count":16,"inspected_source_count":16,"consulted_reference_count":15,"blocked_reference_count":5,"set_aside_reference_count":10},"figures":[{"kind":"time-series","title":"What a rack was built for, and what it now holds","caption":"Power per rack across four decades of design assumption. The gap between the first two bars and the last two is why the cooling medium changed.","sourceNote":"Operator and trade-press figures, all asserted on this page: 5-10 kW as the density halls were designed for a few years ago and over 200 kW for today's GPU racks (Equinix, May 2026); about 15 kW as the air-cooled ceiling, about 145 kW for direct-to-chip today, and 1 MW as a stated industry target for 2030 (The Next Platform, September 2025). The 2030 figure is a target, not a measurement.","unit":"Power per rack, kilowatts","points":[{"label":"Halls designed a few years ago","value":10,"display":"5-10 kW"},{"label":"Practical air-cooled ceiling","value":15,"display":"~15 kW"},{"label":"Direct-to-chip today","value":145,"display":"~145 kW"},{"label":"Densest GPU racks now","value":200,"display":"200+ kW"},{"label":"Stated industry target, 2030","value":1000,"display":"1 MW"}]},{"kind":"time-series","title":"Per-chip power roughly quadrupled in six years","caption":"GPU thermal design power, 2018 against 2024. This is the number that made every other number on this page necessary.","sourceNote":"Figures attributed to Ober and Iyengar in the introduction to a 2025 ITherm conference paper by Google engineers Madhusudan Iyengar and Jorge Padilla. Google's own engineering blog frames the same trend as a move from a historical 100 W to accelerators exceeding 1,000 W; that framing carries no dates, so it is not plotted here.","unit":"GPU thermal design power, watts","points":[{"label":"2018","value":300,"display":"~300 W"},{"label":"2024","value":1200,"display":"~1,200 W"}]}],"blocked_references":[{"title":"800 VDC Architecture for AI Data Centers","publisher":"NVIDIA","url":"https://www.nvidia.com/en-us/data-center/technologies/800-vdc-architecture/","source_type":"company_website","retrieval_status":"retrieved_no_content","content_inspected":false,"published_at":null},{"title":"AI is set to drive surging electricity demand from data centres while offering the potential to transform how the energy sector works","publisher":"International Energy Agency","url":"https://www.iea.org/news/ai-is-set-to-drive-surging-electricity-demand-from-data-centres-while-offering-the-potential-to-transform-how-the-energy-sector-works","source_type":"press_release","retrieval_status":"blocked_403","content_inspected":false,"published_at":null},{"title":"Energy and AI — Executive Summary","publisher":"International Energy Agency","url":"https://www.iea.org/reports/energy-and-ai/executive-summary","source_type":"other","retrieval_status":"blocked_403","content_inspected":false,"published_at":null},{"title":"PFAS Regulations, 3M Exit to Impact Two-Phase Cooling in HPC","publisher":"HPCwire","url":"https://www.hpcwire.com/2023/01/27/pfas-regulations-3m-exit-to-impact-two-phase-cooling-in-hpc/","source_type":"journalism","retrieval_status":"blocked_403","content_inspected":false,"published_at":null},{"title":"Schneider Electric Acquires Controlling Interest in Motivair","publisher":"Motivair","url":"https://www.motivaircorp.com/news/schneider-electric-acquires-controlling-interest-i/","source_type":"press_release","retrieval_status":"blocked_403","content_inspected":false,"published_at":null}],"set_aside_references":[{"title":"ASHRAE technical bulletin and TC 9.9 Datacom series","publisher":"ASHRAE","url":"https://www.ashrae.org/technical-resources/bookstore","source_type":"other","retrieval_status":"search_result_only","content_inspected":false},{"title":"Corintis","publisher":"Corintis","url":"https://www.corintis.com/","source_type":"company_website","retrieval_status":"search_result_only","content_inspected":false},{"title":"LiquidStack","publisher":"LiquidStack","url":"https://liquidstack.com/","source_type":"company_website","retrieval_status":"search_result_only","content_inspected":false},{"title":"NVIDIA Blackwell Architecture Explained: B200, GB200 & PCB Design Impact","publisher":"NextPCB","url":"https://www.nextpcb.com/blog/nvidia-blackwell-architecture-b200-gb200-pcb-design","source_type":"other","retrieval_status":"search_result_only","content_inspected":false},{"title":"NVIDIA GPU History: GeForce 256 to Vera Rubin","publisher":"IOH Tech","url":"https://iohtechco.com/resources/nvidia-gpu-history-evolution","source_type":"other","retrieval_status":"search_result_only","content_inspected":false},{"title":"OCP 800 VDC whitepaper and LVDC Solid-State Transformer Specification","publisher":"Open Compute Project","url":"https://www.opencompute.org/","source_type":"other","retrieval_status":"search_result_only","content_inspected":false},{"title":"Open Compute Project announcement of Google's completed Deschutes contribution","publisher":"Open Compute Project","url":"https://x.com/OpenComputePrj/status/1966149389044363579","source_type":"other","retrieval_status":"search_result_only","content_inspected":false},{"title":"Project Deschutes CDU specification, Open Compute Project","publisher":"Open Compute Project","url":"https://www.opencompute.org/ai-marketplace","source_type":"other","retrieval_status":"search_result_only","content_inspected":false},{"title":"Syndicated data-centre liquid cooling market reports","publisher":"Various market research firms","url":"https://www.marketsandmarkets.com/Market-Reports/data-center-liquid-cooling-market-84374345.html","source_type":"other","retrieval_status":"search_result_only","content_inspected":false},{"title":"What is CUDA? Parallel programming for GPUs","publisher":"InfoWorld","url":"https://www.infoworld.com/article/2256401/what-is-cuda-parallel-programming-for-gpus.html","source_type":"journalism","retrieval_status":"search_result_only","content_inspected":false}],"concepts":[{"slug":"accelerator-power-envelope","name":"Accelerator Power Envelope","category":"other","canonical_url":"https://www.manufacturing.ai/topics/liquid-cooling#accelerator-power-envelope","assertions":[]},{"slug":"ai-rack-power-density","name":"AI Rack Power Density","category":"component","canonical_url":"https://www.manufacturing.ai/topics/liquid-cooling#ai-rack-power-density","assertions":[]},{"slug":"coolant-distribution-unit","name":"Coolant Distribution Unit (CDU)","category":"component","canonical_url":"https://www.manufacturing.ai/topics/liquid-cooling#coolant-distribution-unit","assertions":[{"id":"03513ce0-bbb7-49cd-a0ab-e5c9148f5db9","predicate":"concept.description","statement":"Google reports liquid cooling at 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