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.
Access an open marketplace of diverse IoT hardware, from co-located edge servers to smart TVs and embedded systems.
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.
Any device can be used from dedicated compute nodes to low power computers and embedded systems, lowering unit costs by over 90%.
Ultra-lightweight technology that does not rely on VMs or Containers significantly cuts I/O, memory, and power requirements while improving latency.
The Distributed Computer is agnostic to the state of any endpoint including whether it is mobile or immobile; static or ephemeral.
The Distributed Computer greatly increases accessible compute and networking resources, increasing data that can be preprocessed at the edge.
Highly proximate clusters of edge hardware are available through the Distributed Computer and are not limited to co-location or cloudlet sites.
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.
The Distributed Computer’s client on edge devices consumes up to 99% less memory at rest than alternatives, improving overall capacity.
Switching applications is practically instant because of cutting-edge virtualization technology, reducing bandwidth costs and idle device time.
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.
There are several ways that the Distributed Computer allows mission-critical applications to continue operating autonomously and even adapt to new conditions.
The Distributed Computer is completely agnostic to the transport layer, making it able to skip across protocols like 5G, Zigbee, Bluetooth, and more.
A diverse pool of hardware and network resources means your workload can continue despite massive dropouts, meeting almost any service level requirement.
Both public and private networks automatically handle task and connection failures, re-routing work to other proximate devices.
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.View Security →
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.View Pricing →