Edge Computing

A Universal Platform for the Edge

The Distributed Computer is at the leading Edge

Deploy the same code to highly fault-tolerant networks, both public and private. From federated learning to preprocessing, creating edge deployments is trivially easy.

A New Era of Edge

The Distributed Computer provides unparalleled ease-of-access and control over the most complex edge deployment. With one API, organizations can create intelligent compute grids from their own hardware or purchase it from public resources.

Public Networks

Access an open marketplace of diverse IoT hardware, from co-located edge servers to smart TVs and embedded systems.

Private Networks

Construct private edge clouds from hardware your organization already owns and maintain granular control over access and membership.

No one build fits every application. That is why the Distributed Computer provides cutting-edge support for cloud infrastructure automation to make your IT’s job as easy as possible.

Lowest Cost

Any device can be used from dedicated compute nodes to low power computers and embedded systems, lowering unit costs by over 90%.

Improved Performance

Ultra-lightweight technology that does not rely on VMs or Containers significantly cuts I/O, memory, and power requirements while improving latency.

Complete Adaptability

The Distributed Computer is agnostic to the state of any endpoint including whether it is mobile or immobile; static or ephemeral.

Increased Capacity

The Distributed Computer greatly increases accessible compute and networking resources, increasing data that can be preprocessed at the edge.

High Availability

Highly proximate clusters of edge hardware are available through the Distributed Computer and are not limited to co-location or cloudlet sites.

Minimal Overhead Meets Low Latency

The technology of the Distributed Computer makes it fundamentally more suited to operating on edge devices. Unlike Containers and VMs, the software overhead in every device and involved in network communication is almost nonexistent.

Improved Memory Use

The Distributed Computer’s client on edge devices consumes up to 99% less memory at rest than alternatives, improving overall capacity.

Fast Context Switching

Switching applications is practically instant because of cutting-edge virtualization technology, reducing bandwidth costs and idle device time.

Reduced I/O

All datasets and communications are in the form of lightweight JSON objects, significantly decreasing bandwidth consumption.


The Distributed Computer can work entirely in the background, meaning there is no interference with the core operations of an edge device.

Adaptive, Self-Healing Networks

There are several ways that the Distributed Computer allows mission-critical applications to continue operating autonomously and even adapt to new conditions.

Network Adaptation

The Distributed Computer is completely agnostic to the transport layer, making it able to skip across protocols like 5G, Zigbee, Bluetooth, and more.

Persistent Connectivity

A diverse pool of hardware and network resources means your workload can continue despite massive dropouts, meeting almost any service level requirement.

Automated Failover

Both public and private networks automatically handle task and connection failures, re-routing work to other proximate devices.

A Secure Edge

The Distributed Computer provides granular security and governance controls, some of which are especially useful in edge environments. In addition to network and device monitoring, the platform offers best-in-class data deduplication tools.

Further security and data management measures are being added all the time to protect your workloads. Learn more about our security infrastructure at the page below.

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A Range of Disruptive Applications

A Future-Proof Platform

The edge is constantly evolving, and according to Gartner more than 80% of existing edge computing deployments will be replaced by 2022.

The Distributed Computer is built to be future proof and compliant with evolving standards, eliminating the difficulty in adapting to new architectures. It is the only computing platform with native support for:

Compatible with any 5G protocol and network slicing architectures, latency and bandwidth restrictions are significantly decreased.

Hyperscale datacentres can coordinate with localized edge processing in a star architecture, optimizing the use of powerful computing resources.

As data preprocessing devolves to mist-layer, the Distributed Computer can perform compute on IoT devices themselves to save bandwidth costs.

Edge networks are created as virtual pools of computing and network resources, allowing them to seamlessly combine and divide amongst themselves.


The Distributed Computer helps organizations save significant amounts of spending on compute and network resources. All private edge networks operate with a simple license model, while access to public resources is metered per computing time and I/O.

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Get Started Today

Contact us today to get started with our public cloud services. Alternatively, we are here to help you decide if another deployment model is right for you.