AI compute is becoming a power problem.
Traditional data centers are running into power, permitting, and interconnection limits.
Even when the GPUs exist, the energy to run them often doesn't. And developers feel it as limited supply, higher prices, and compute locked inside a few crowded regions.
Lektra was built to bypass that bottleneck with Lektra EdgeScale.
A distributed fleet of GPU nodes co-located with renewable energy, operated as one managed cloud for inference, agents, and reserved workloads.
And because compute is spread across many sites, no single outage, region, or grid event can take it offline. The result is the cloud experience developers demand: predictable GPU access, transparent pricing, and no egress fees.
Distributed infrastructure, operated as one cloud.
We're building a managed AI cloud deployed where renewable energy already exists. Smaller sites, faster to bring online, closer to demand.
Verified nodes
Lektra manages the hardware, site requirements, monitoring, and operational standards.
Fallback power
Sites prioritize renewable energy and storage, with grid fallback where required for uptime.
Workload visibility
Developers can see usage, billing, GPU allocation, and performance data.
Support and monitoring
Lektra monitors infrastructure health, availability, and task completion across the network.
We believe AI shouldn't belong to a few.
Neither should the value it creates.
A handful of companies own the compute, set the prices, and decide who gets to build. And who gets to profit.
Lektra exists to change that.
Our network is powered by independent energy hosts who own the hardware, and earn from the workloads they support. And the teams building on it get serious compute access — without the markup, the gatekeeping, or the fine print.
Open infrastructure. Shared upside. A cloud built for the people powering it and the people building on it.