LōD Launches CLōD, the World's First Compute Flexibility Platform for AI Inference
CLōD routes AI inference calls to the cheapest data center in real-time based on energy prices, delivering up to 60% cost savings. Within days of launch it processed billions of tokens and attracted 1,500+ developers.
CLōD is an AI inference platform that routes inference calls to geographically distributed data centers based on real-time energy prices and grid conditions. Builders access free and premium AI models through a single API. Energy-aware routing cuts inference costs by up to 60 percent compared to fixed-location cloud providers. Within days of launch, CLōD processed billions of inference tokens and attracted 1,500 developers, validating the demand for cost-optimized, grid-intelligent AI infrastructure.
TL;DR
TL;DR: CLōD is a compute flexibility platform for AI inference. Instead of running inference in one fixed data center, each call gets routed to the cheapest location in real-time based on grid conditions and energy prices. Builders get access to free and premium AI models through a single API. Cheaper inference without sacrificing latency or quality. Built on top of the LōD energy intelligence platform that already manages billions of kilowatt-hours annually.
Vancouver, BC – April 8, 2026
As AI adoption increases globally, inference has become the largest consumer of electricity. This change reveals the need for a new strategy to manage how and where compute consumes energy in real time.
Aware of the new market demand and with over a decade in energy management for Data Centers, LōD Technologies announced the launch of CLōD, the world's first compute flexibility platform designed specifically for AI inference workloads.
The system introduces a new paradigm for data center flexibility by aligning AI compute demand with real-time grid conditions.
"Electric grids rely on price signals to balance supply and demand," said Medi Naseri, CEO of LōD Technologies. "CLōD extends that same mechanism to AI compute. When the grid sends a signal, workloads can respond automatically without disrupting applications or end users."
Within just days of launch, CLōD has already processed billions of inference tokens and has attracted over 1500 developers to the platform, demonstrating immediate adoption of a new approach to managing AI workloads and energy consumption.
While data center flexibility has been widely discussed, most initiatives have remained limited to concept papers, pilot programs, or demand response experiments that require operators to throttle or curtail operations during grid events, affecting end users' experience.
CLōD represents the first successful production implementation of flexibility for AI inference workloads, moving the concept beyond theoretical discussions and pilot programs into real-world operation.
Built on LōD's patented energy-aware compute orchestration technology, CLōD dynamically adjusts the pricing of inference tokens based on real-time electricity prices, grid conditions, and active demand response programs. This allows workloads to be routed to locations and times where energy is cheaper and more readily available.
CLōD delivers discounts of up to 60% compared to market rates, with zero integration required from data centers or cloud providers. Early deployments show a maximum additional latency of roughly 50 milliseconds.
!CLōD Platform — Unified Interface for Accessible LLMs.png)
The launch of CLōD represents a major milestone in LōD's broader vision of transforming computing into grid-interactive infrastructure.
Frequently Asked Questions
What is CLōD?
CLōD is an AI inference platform built on top of the LōD energy intelligence infrastructure. It gives AI builders access to a pool of distributed data centers and routes each inference call to the most cost-effective location based on real-time grid conditions and energy prices. Builders use a single API to access free and premium AI models.
How does CLōD make AI inference cheaper?
CLōD monitors real-time electricity prices across all connected data centers. When a developer submits an inference request, the system automatically routes it to the data center with the lowest current energy cost. This geographic arbitrage, combined with LōD's demand response revenue, enables price reductions of 30-60 percent compared to fixed-location cloud providers.
What is energy-aware AI routing?
Energy-aware routing means each inference call is directed to a data center based on current wholesale electricity prices, grid demand, and available capacity, not just geographic proximity or fixed load balancing. Routing happens in milliseconds with minimal latency impact.
Which AI models are available on CLōD?
CLōD offers both free and premium AI models accessed through a single API. Free models are available on a best-effort basis. Premium models include commercial-grade LLMs with guaranteed latency, higher availability, and priority access.
How is CLōD different from other AI APIs?
Most AI APIs run in fixed data centers and charge a flat per-call or per-token rate. CLōD routes calls across geographically distributed centers in real-time based on energy prices and grid conditions. The platform handles all routing, failover, and optimization automatically.
Is CLōD free to use?
CLōD offers free tiers for developers using free models on a best-effort basis. Premium models and guaranteed latency have commercial pricing based on token consumption and SLA tiers.
How does CLōD connect to the LōD energy platform?
CLōD runs on top of the LōD energy intelligence infrastructure that already manages billions of kilowatt-hours annually. LōD's real-time grid signal integration, forecasting, and automated control logic powers CLōD's routing decisions.
About LōD Technologies
LōD Technologies builds energy-intelligent computing infrastructure that optimizes the flow of energy and workloads across data centers. Its platforms enable computing resources such as AI inference, AI training, and Bitcoin mining to operate as flexible loads that respond to real-time electricity market conditions.
Media Contact: Jose Cabal, Marketing Lead, LōD Technologies, Inc. — jose@lod.io