Companies that really use information technology for strategic advantage, those that are implementing artificial intelligence, machine learning, the internet of things, they know that they must move compute power back from the cloud and out to the edge. They know that they need compute power for advanced analytics at the source of the data or as close to it as possible.
But the complexity that companies face at the edge is daunting. How are they to deploy, manage, maintain, upgrade and secure all that compute power scattered all over the earth? Network closets are already packed full, underpowered and overheating. Where will they even place the computers?
The answer is Hivecell.
Hivecell is a server designed for the edge. It is small, about the size of a text book. It uses very little energy, about 10 watts on average. As such, it requires no cooling. It is quiet. A stack of Hivecells requires only one power cable and one ethernet cable.
Your network closet nightmare is over. You can place Hivecells anywhere: on a bookshelf, on a desktop, in a cabinet. Expand your compute power now, exactly where you need it, and easily increase it over time.
Each Hivecell has a built in battery back up, so there is no need for bulky uninterrupted power supplies (UPS). Hivecells directly connect which reduces both your wireless and wired routing load.
Hivecell brings true linear scalability. Just place another Hivecell on the stack to scale your compute power. No backplane, chassis or routers needed. Our patent-pending Baranovsky connectors pass power and Ethernet through the stack of Hivecells, eliminating the clutter of multiple wires from the developer’s desktop.
Installation requires no expertise. Hivecells snap together like toy blocks. One need only unbox a Hivecell, place it on top of the stack and hit the power button. Everything else is taken care of automatically.
With Hivecell, installing a distributed software framework is as easy as installing an app on your smartphone. Hivecell has a built in patent-pending provision system that enables DevOps to install Kubernetes on a cluster remotely with a single click of a button. Hivecell supports many other distributed frameworks, including Hadoop, Spark, Tensorflow and Kafka.
Take advantage of the edge, whatever your business. With the importance of data rising across business sectors, from energy to healthcare to hospitality and more, and the risks of total Cloud or server room reliance, Hivecell and the edge cannot be ignored. Learn about some of the use cases here!