The industrial token factory for global AI.
Bankable, SLA-backed GPU compute — built on stranded power and underused data centers, delivered as one reliable fabric.
Financing partners →RoCE fabric — one spec across every node
SLA target, verified by live telemetry
Behind-the-meter, traceable power
The site sizes we build for — North America & Southeast Asia
Buyers, facility owners and capital — one contract stack.
For AI labs & enterprises
- Standardized throughput and dedicated clusters
- SLA you can verify through live telemetry
- Materially lower cost per token than hyperscale cloud
For data center owners
- Zero-capex software and network onboarding
- Long-term take-or-pay offtake
- Hardware procured through third-party credit
For capital partners
- Project-level SPV asset isolation
- Contracted cash flows plus price protection
- Real-time telemetry and cash-flow audit
From spare power to delivered tokens.
One contract stack connects the power, the facility, the network and the customer. Every step is metered.
Contract the power
Spare power that is already connected inside industrial sites is identified and contracted.
Upgrade the facility
Underused data centers receive financed GPU racks and network tuning.
Join one fabric
Nodes run on a single 3.2T RoCE fabric under TCF scheduling and telemetry.
Deliver tokens
Customers buy throughput on term contracts; cash flows back to each node SPV.
Buy throughput, not bare metal.
Distributed capacity, engineered to behave like a single cloud. Tokens per second and model FLOPs utilization are contracted outputs — not a list of loosely connected machines.
3.2T RoCE fabric
PFC/ECN congestion tuning with unified drivers and firmware, so cross-node traffic stays clean under load.
Throughput tuning
vLLM, PagedAttention and NCCL parameters hardened per cluster. Performance is measured in usable tokens.
Heterogeneous pools
One operating layer across inference, fine-tuning, multimodal generation and real-time rendering.
Why TCF is different.
Hyperscale cloud
Reliable but expensive — and new capacity waits years in the grid queue.
GPU marketplaces
Cheap, but mismatched machines and links that break under distributed load.
The Compute Foundry
Uniform racks on shared behind-the-meter power, one meshed fabric, priced on term.
| Hyperscale cloud | GPU marketplaces | TCF | |
|---|---|---|---|
| Unit cost | High | Low, volatile | Low, locked by term contract |
| Network | InfiniBand / EFA | Inconsistent | 3.2T RoCE, single spec |
| Availability | High | No uniform commitment | 99.95% SLA target, telemetry-verified |
| Power transparency | Low | Low | Behind-the-meter, traceable |
Pricing is quoted per workload and term. SLA terms and performance figures are governed by the signed service agreement.
The power is already on.
The bottleneck for AI isn’t GPUs — it’s interconnection. Enerfy finds and contracts power headroom that already exists inside industrial sites, so compute comes online without waiting in the grid queue.
Compute infrastructure, structured to be underwritten.
Each node sits in its own SPV, with hardware title, contracted revenue and live operating data you can inspect — not a promise you have to take on trust.
Take-or-pay offtake
Medium- to long-term offtake; monthly rent flows to a controlled account with debt service paid first.
Price-floor structure
Hedging with a market counterparty — for example a zero-cost collar — designed to set a floor by giving up part of the upside.
Look-through telemetry
Lenders see GPU status, failure rates, power draw and collected cash in real time.
Nothing on this website constitutes an offer to sell, or a solicitation of an offer to buy, any security or financial product. Any financing is subject to definitive documentation and applicable law.
Tell us what you need.
Pick the track that fits. A specialist replies within two business days.
- ACompute buyers — capacity, workloads and timing
- BFacility owners — site, power and existing hardware
- CCapital partners — mandate and ticket size