Fog Computing builds the infrastructure between the grid and the rack. We engineer the power and manufacture the cooling, helping AI compute go live faster.
Building the future of AI takes enormous power, and infrastructure that arrives fast. We stand with the builders, making every rack land faster and run more efficiently.
Fog began in 2021 as a joint R&D lab with university partners, working on one problem: how to move heat out of a dense rack.
Paul Jin Li, a computer science professor and serial entrepreneur, led the engineering from immersion cooling to direct-to-chip. Then the build went modular and prefabricated, with an experienced supply chain behind it.
Five years later, we stand behind sites across 40 countries. 400MW deployed, from North America to the Middle East and Australia.
Founded as a joint R&D lab with university partners, working on liquid cooling.
The first cooling product ships, released at CES, with an Intel partnership behind it.
Containerised immersion cooling moves from pilots into scaled delivery.
Immersion cooling for AI and HPC released. Fog joins the NVIDIA Inception Program.
Direct-to-chip cooling products enter mass production.
Whole AI data centers, power and cooling included, scaled up.
Extreme heat, harsh environments, hard logistics. From North America to the Middle East, we hand over an energized site, not a spec sheet.
Deployed sites: Canada, Wyoming, New Mexico, Mexico, North Dakota, Texas, Kansas, Iowa, Mississippi, Illinois, Tennessee, Indiana, Georgia, Florida, North Carolina, Paraguay, Iceland, Portugal, Spain, United Kingdom, Switzerland, Norway, Italy, Botswana, Bahrain, United Arab Emirates, Oman, Turkmenistan, India, China, South Korea, Japan, Australia.
Team locations: Canada, United States, Singapore, China, Australia.
From transformers and switchgear, to cooling loops and container shells. Fog keeps production moving fast and reliably, with every module factory acceptance tested before it ships.
What operators ask before they take a meeting. If yours is not here, ask it.
Everything between the grid connection and the rack. Transformers, switchgear, BESS and generation on the electrical side. Immersion, direct-to-chip, CDUs and the coolant on the cooling side. Containerised data halls and skids engineered to UL and CSA standards, with the control layer that runs them.
Two product lines. For AI data centers, the FogStack system and the FogPod, FogPod Air and FogPod Imm modules. For Bitcoin mining, the H, B and C Series.
An OEM. Not a reseller, not a broker, and not a badge on another factory’s box.
We run our own design, engineering and supply-chain teams, we build in our own factory, and we qualify our own suppliers. That is what makes a design change an engineering decision here rather than a request passed up somebody else’s chain.
Yes, and most projects carry some. Capacity, container format, cooling type, switchgear rating and control integration are specified per project. The standard products are where a project starts, not where it has to end.
Two industries that share most of the same machine. AI and HPC data centers, where the work is dense GPU halls and the power and cooling to run them. And Bitcoin mining, where the company started and where the immersion and hydro cooling came from.
Operators converting a mining site into AI capacity are a growing share of the work. The power is already there, so the constraint is the conversion.
Yes. The factories are open to visitors, arranged through your contact here.
A working site depends on the operator agreeing to host. Tell us the geography and the capacity you are working to and we will find the closest match we can show.
Start with the contact form. Tell us what you would bring, which markets you cover and the first project you have in mind. It reaches the team that would run it.