Effortless Distributed Computing

Parallel computing on any device

Private computing on premises

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Distributed computing made economical, secure, and intuitive.

The Distributive Compute Protocol (DCP) makes it easy to deploy parallel workloads across any device or digital infrastructure, from smartphones to GPU servers.

How Does it Work?

DCP's technology creates an open network of devices. The Protocol is also used to create private compute networks by capturing idle computational power from any device connected to the internet.


The open network and private networks can combine to create a hybrid model, minimizing cost while maximizing performance and security.

Step 1

Select the desired 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.

Step 3

Collect Your Results

Collect results in real time, paying only for what is consumed.

Distributed Computing In Any Environment

Private Compute Group

Create computing clusters in minutes using computers and infrastructure already on premise.

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Public Compute Group

Access parallel CPU and GPU resources on-demand, for below spot prices elsewhere.

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Hybrid Compute Groups

Seamlessly migrate workloads by connecting private computing networks with public networks.

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Edge Computing

Create private edge networks from any IT/OT hardware, and without changing legacy systems .

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Features & Advantages

DCP makes it easy to power computationally-intensive applications.

Workload Scalability

Access thousands of computers at a fraction of the cost. Accelerate parallel workloads without being constrained by service limits.

Highly Performant

DCP worker nodes improve throughput, wait time, and other performance indicators compared to virtual machines. Get closer to bare metal results.

Most Competitive Pricing

Access serverless compute resources for as low as $20 per CPU year or $250 per GPU. Other computing services don't even come close.

Saves Cloud Spend

Organizations let millions of dollars of compute go unused on idle hardware they own. DCP puts this idle hardware to work.

Transparent Billing

DCP has both flat rate and usage-based pricing.

Pays for Itself

Organizations can sell compute using DCP without having to recover costs. The DCP network is accessible to all.

Upgraded On-Prem

DCP private networks enable even more compute to be performed locally. Sending data to 'the Cloud' may no longer make sense for many workloads.

Granular Security Controls

Determine which end users—if any—can view program data and algorithms. Customizing who can access workloads, results, or data is very straightforward.

Orchestration-less

Scale across any number of servers without any upfront design. DCP automatically manages all orchestration and load balancing tasks.

No Migrations

Leave behind the pain of migrating VMs. DCP lets workloads be shifted between on-premise and off-premise resources at the press of a button.

Automatic Job Optimization

No more managing compute instances. DCP’s adaptive runtime lets workloads get the resources they need, when they need them.

One Environment

Write code for one environment instead of planning for multiple. Leverage additional hardware in parallel to accelerate applications without modifying the source code.

Two Models To Fit Applications

Choose A DCP Product

Private Networks (Compute Groups) are made from any authorized device. This means that servers, workstations, or IoT devices within premises, firewall or country can all be leveraged.

DCP provides access to a parallel computing platform that can be composed of any type of hardware, including data centers and HPC sites. Its on-demand pricing is more competitive than any standalone commercial cloud provider.

Private Networks
 DCP
Infrastructure
Any x86, AMD, or RISC-V processors.
Huge variety of public infrastructure - from AMD chips to RTX 3090s.
Pricing
Fixed annual fee starting at $20/vCPU and $250/GPU. Unlimited use.
Consumption-based billing, averaging $100/vCPU and $1,250/GPU year.
Security
Completely air gapped - data & algorithms stay behind the firewall.
SSH by default.
Integrations
Microsoft Endpoint Manager and common network install methods.
Seamlessly switch between private, local or powerful public compute networks
Best Suited For
Processing sensitive data & algorithms on-premises.
Massively parallel applications & hybrid workloads.
Private
Network

Every type of processor on devices you own.

Public
Networks

Public data centres and edge networks

Private
Network

Fixed pricing at $20/vCPU and $250/vGPU.

Public
Networks

Consumption-based at $100/vCPU and $1,250/vGPU

Private
Network

Completely air gapped, private, and/or on-premises

Public
Networks

Protected by SSH.

Private
Network

Seamless private and hybrid support.

Public
Networks

All common network endpoint install methods.

Private
Network

Keeping workloads private, and pre-production testing.

Public
Networks

Massively distributed, private & hybrid applications.

Improved Business Outcomes

Lower Cost Base

Businesses consistently overprovision and overpay for their compute. DCP reduces compute bills by 90% or more.

Better CI/CD

Shorten the time to build, ship, and scale applications by only having to write code for a single environment.

Integrates With Enterprise Toolchains

DCP supports everything from command-line programs to beautiful web interfaces for non-developers.

It is compatible with almost every popular programming language and multiple software packages used in industry.

Rapidly scale across any infrastructure without

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Build on DCP

Connect with DCP solutions experts, and test enterprise networks today!

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