Distributive

Distributive Organizing the world's compute With DCP, developers can focus on writing code while DCP automatically handles server and cloud instance management.

Distributive revolutionizes the way organizations approach computing - the Distributive Compute Protocol (DCP) is a hybrid and flexible distributed computing framework that eliminates complicated devOps, cloudOps, containerization, and Lift-and-Shift efforts. DCP distributes data processing tasks to on-prem servers, computers, and IoT devices before consuming cloud resources, thereby reducing cloud spend by up to 90% and keeping data private and on-prem. DCP provides a unified analytics engine for big data processing both on-prem and in the cloud, making it a versatile and powerful solution. Choose Distributive and let DCP accelerate your data processing and analytics efforts with ease.

Dear DCP’ers,We're back online! Upgrade and relocation of our DCP Scheduler hardware complete.Back to deploying compute ...
09/18/2026

Dear DCP’ers,
We're back online! Upgrade and relocation of our DCP Scheduler hardware complete.

Back to deploying compute jobs! 🚀

compute.for(everyone)

Dear DCP’ers,We’ll be briefly offline from **4:30 PM EDT on Monday, September 14 to 12:00 PM EDT on Friday, September 18...
09/14/2026

Dear DCP’ers,

We’ll be briefly offline from **4:30 PM EDT on Monday, September 14 to 12:00 PM EDT on Friday, September 18** while we upgrade and relocate our DCP Scheduler hardware.

Thanks for your patience while we make this upgrade! 🚀

Something exciting just happened: a bridge between and .In an inaugural test, the University of Southern Queensland...
12/03/2025

Something exciting just happened: a bridge between and .

In an inaugural test, the University of Southern Queensland and Distributive successfully sent computational results back from DCP Workers operating on the other side of the world.

This establishes a compute bridge for unlocking and equitably sharing idle CPU and GPU capacity across computers, edge devices, and servers - across continents. By its nature, it opens new avenues for collaboration in , , and more.

Moving HTC workloads off HPC systems and onto HTC platforms like DCP frees HPC capacity for true HPC workloads—a win for both researchers and infrastructure managers.

Next, the teams will scale the cluster and onboard additional workloads.
In a compelling twist, DCP also enables the University of Southern Queensland to sell idle compute capacity to nearby enterprises. Enterprise buyers gain 2–3× lower-cost compute, the ability to redirect spend to local academic institutions, national compute and data sovereignty, and a low-cost path to capacity building. It’s a national win and a foundation for future .

Special thank you to Luke Drury, CISSP, Richard Godsmark and James Duncan.

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