The Distributive Compute Protocol (DCP) makes it easy to deploy parallel workloads across any device or digital infrastructure, from smartphones to GPU servers.
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.
Instruct your workload to use private, public, or hybrid infrastructure.
Run your workload through the Compute API without managing any servers.
Collect results in real time, paying only for what is consumed.
Create computing clusters in minutes using computers and infrastructure already on premise.Learn More -->
Access parallel CPU and GPU resources on-demand, for below spot prices elsewhere.Learn More -->
Seamlessly migrate workloads by connecting private computing networks with public networks.Learn More -->
Create private edge networks from any IT/OT hardware, and without changing legacy systems .Learn More -->
DCP makes it easy to power computationally-intensive applications.
Access thousands of computers at a fraction of the cost. Accelerate parallel workloads without being constrained by service limits.
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.
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.
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.
Scale across any number of servers without any upfront design. DCP automatically manages all orchestration and load balancing tasks.
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.
Write code for one environment instead of planning for multiple. Leverage additional hardware in parallel to accelerate applications without modifying the source code.
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.
Any x86, AMD, or RISC-V processors.
Huge variety of public infrastructure - from AMD chips to RTX 3090s.
Fixed annual fee starting at $20/vCPU and $250/GPU. Unlimited use.
Consumption-based billing, averaging $100/vCPU and $1,250/GPU year.
Completely air gapped - data & algorithms stay behind the firewall.
SSH by default.
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.
Every type of processor on devices you own.
Public data centres and edge networks
Fixed pricing at $20/vCPU and $250/vGPU.
Consumption-based at $100/vCPU and $1,250/vGPU
Completely air gapped, private, and/or on-premises
Protected by SSH.
Seamless private and hybrid support.
All common network endpoint install methods.
Keeping workloads private, and pre-production testing.
Massively distributed, private & hybrid applications.
Businesses consistently overprovision and overpay for their compute. DCP reduces compute bills by 90% or more.
Shorten the time to build, ship, and scale applications by only having to write code for a single environment.
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.
Connect with DCP solutions experts, and test enterprise networks today!