Distributed computing has never been so economical, secure, and intuitive.
The Distributive Compute Protocol (DCP) makes it easy to deploy parallel workloads across any infrastructure, from GPU servers to PCs. Its cross-platform processing layer can be created, shared, and scaled without buying expensive servers or sending data to centralized cloud providers.
How Does it Work?
DCP's technology creates an open cloud from data centres around the world, where workloads have no lock-in to specific vendors. The protocol is also used to create private compute networks by capturing idle computational power from any endpoint devices on a LAN or WAN.
These two services can combine to create a hybrid cloud model, minimizing cost while maximizing performance and security.
Step 1
Select Your Infrastructure
Instruct your workload to use private, public, or hybrid infrastructure.
Step 2
Run Compute.for()
Run your workload through the Compute API without managing any servers.
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Step 3
Collect Your Results
Collect your results in real time, paying only for what you consume.
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