Energy
Interconnection queues stretch for years. Available megawatts, not available GPUs, now decide where AI capacity gets built.
AI|Compute|Energy
Where compute meets energy.
AI demand is outrunning the grid. AICE Capital Partners brings the entire stack together, from power generation to GPU, so neocloud and AI builders get the capacity they need, when they need it.
The Problem
The neocloud bottleneck is not chips. It is power.
Compute
Neoclouds need to stand up dense, liquid-cooled GPU clusters fast, but a site without firm power is a site that cannot be sold.
Capital
Power projects and compute projects are financed by different people on different timelines. The gap between them is where deals stall.
Our Approach
One team across the entire stack.
Most firms touch one layer. We work across all of them, so energy, infrastructure, and compute move as a single project instead of three that have to wait on each other.
Integrated, not sequential
We develop power and compute in parallel, matching generation, site, and cluster design from day one.
Capital that understands both sides
We structure deals that work for energy investors and compute operators alike, closing the financing gap that slows projects down.
Built for neoclouds
Our focus is the operators scaling AI capacity today: fast timelines, dense racks, and customers who need a date they can trust.
Speed to energized
Every decision is measured against one number: how soon the first rack is powered and earning.
The Stack
From generation to GPU.
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01
Energy
Generation, interconnection, and behind-the-meter power that gives a site firm, scalable capacity.
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02
Infrastructure
Land, substations, cooling, and the facility that turns megawatts into usable rack space.
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03
Compute
GPU clusters, networking, and operations ready for the workloads neocloud customers are running now.
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04
Capital
Structures that align energy and compute investors around a single, financeable project.
Insights
Latest from AICE.
The Next AI Bottleneck Is Geography
Utilities plan in years, AI builders in weeks. Why location is now the binding constraint on AI infrastructure, and why power, compute, and connectivity must be planned together.
Read the post →The Neocloud Reckoning: The AI Boom Has Found Its Cost of Capital
The neocloud selloff has become a credit question. We walk through Stephen Innes's essay, the numbers behind it, and why power now sets the cost of capital.
Read the post →Contact
Building AI capacity? Let's talk.
Whether you are a neocloud looking for powered sites, an energy developer with capacity to place, or an investor in the space, we would like to hear from you.