Flexible capacity

Access available distributed CPU and GPU resources when suitable workloads need them.

Use what exists

Instead of relying only on newly provisioned servers, Lucenus connects to computing capacity already available across participating devices.

Built for choice

Compare distributed compute with your existing infrastructure based on workload, cost, security and reliability needs.

Cloud GPU alternative

A Cloud GPU Alternative

Cloud GPUs are useful, but they can become expensive when you need a lot of computing power. Distributed compute offers another way to access capacity.

The traditional cloud model

Businesses can rent GPUs from centralized cloud providers. This is convenient, but costs can grow with usage and scale.

A distributed model

Lucenus brings together computing capacity from participating computers so businesses can access distributed compute for eligible workloads.

Why businesses may explore it

Distributed capacity can provide another source of compute, especially for workloads that can be split across available machines.

Use the right tool for the job

Not every workload fits distributed computing. Workload requirements, latency, data handling, reliability, and security requirements should all be considered.

A different way to think about compute

Instead of relying on one centralized pool alone, Lucenus explores a network model where many computers can contribute capacity.

A note about earnings

Earnings vary based on hardware, availability, workload demand, utilization, electricity costs, network conditions and other factors. More powerful hardware may have greater earning potential when its capacity is in demand. No income is guaranteed.