Access clean compute
Get compute from third-party GPUs or from Cue exclusive capacity, orchestrated for you today. Sponsor projects to accelerate clean power and AI infrastructure. One control plane, optimized for flexibility and carbon across both.
Near term or next build, one plane
Most buyers need both: capacity this quarter to keep training, and contracted capacity later at a price and carbon profile that holds. We run both routes on the same orchestration and the same carbon minimization so the choice is commercial, not architectural.
Third party GPUs, matched and run on our plane
You need capacity this quarter, not this decade. We match your workload to vetted third party capacity already energized, then orchestrate it against carbon, price and latency on one control plane. You contract for the outcome, not for somebody else's hardware roadmap.
Future GPUs, on campuses you sponsor
You need capacity beyond what exists today, so you fund the campus development and Cue orchestrates and delivers it: power and equipment contracted, interconnection, land and labor. You provide the capital, and Cue and View dynamically reduce delivery risk across both the data center and the power.
Four steps, either route
We are an AI-native cloud orchestrator no matter who developed the compute. Every hour we sell, third-party or Cue campus, carries built-in grid flexibility, a compute quality factor and carbon optimization from one unified software plane.
Define
Chip class, duration, region, the compute quality factor you need and the carbon and price you have to clear.
Match
One pass across third-party supply and Cue campuses, ranked on quality, flexibility and carbon, not just price.
Contract
One counterparty, one SLA, one paper, with the flexibility and carbon terms written in rather than assumed.
Orchestrate
Grid flexibility built into every hour: workloads shift against grid conditions, carbon and price, reported hourly on one plane.
Proof on both sides of the meter
The platform has to work twice: once on the power, once on the data center. These are the two halves of the same claim, on real projects with dates you can check.
An accelerated MISO 200 MW renewable power asset
The IPP found the listing on View Develop, matched to it directly and accelerated site control on a position that was already pre-qualified and derisked. View Analyze had established the techno-commercial feasibility that made the listing worth matching to, and the marketplace did the rest. The developer ended up with a derisked power asset far faster than its internal team could have reached alone, and the asset is moving quickly through the MISO queue.
MISO completed DPP-2023 West Phase 1 on 23 December 2025. Of the 99 interconnection requests the cycle opened with, 49 have withdrawn. GIA execution is scheduled for August 2027.
An accelerated SPP 200 MW to 500 MW+ data center asset
As project sponsor, Zone Frontier (NYSE American: ZONE) accelerated a long-term ground lease in Potter County, Texas using Cue. Between 200 and 800 acres are designated for data center facilities and at least 1,800 acres for solar and battery storage that View orchestrates. The property surrounds Xcel subsidiary Southwestern Public Service Company's existing Potter County 345 kV substation in SPP. The sponsor keeps the asset and commits capital only as the pieces land. Zone gets digitized data center development, tenant acquisition and DNV services in a single pane of glass.
Carbon as a contract term
One score, measured the same way on both routes, so greener capacity can be priced and chosen on the bottom line rather than claimed as an ESG talking point. Grid flexibility is part of the carbon score, not separate from it: when we shift a workload to relieve the grid, the same engine is minimizing carbon in that hour. And it does not stop at development. The score keeps measuring once the campus and the generation are running, which is what makes a data center a good neighbor on the system that hosts it rather than a load that arrived and took what it needed.
Scored on hourly carbon matching, water intensity, grid carbon, reclaimed water and efficiency. The score travels with the capacity into the contract, and it is re-measured in operation: every flexibility event, every dispatch decision and every hour of plant operation is scored and optimized, so the campus is sustainable by design.
Our mission is to ensure the future of AI and electrification accelerates climate decarbonization
We are building a world where the compute that runs the economy is powered by the cleanest electrons available in every hour it runs.
As AI demand expands and every new campus lands on a grid that was not planned for it, our software platform is changing the way AI factories are developed, powered and operated. Our aim is a measurable reduction in failed projects, and a serious dent in the carbon each GPU-hour carries, hour by hour, on assets that are already being built.
Headquartered in the San Francisco Bay Area, HST's team brings decades of infrastructure development and software experience. We work with capital sponsors, AI tenants, compute buyers and the green power industry on the same platform, because the future of abundant AI compute has to be climate-positive.
We do this with one purpose: so that the compute behind everything you use is built on the cleanest power its grid can deliver. We want a world where the campuses carrying it are good neighbors in the places that host them.