Sunlight.io,
the edge infrastructure company, and Litmus.io, the edge data platform for Industry 4.0, announced their
partnership to
simplify how companies deploy Industrial IoT at scale at Edge Computing Expo in Santa Clara, California.
The Sunlight Hyperconverged Edge is a
reliable, secure, zero-touch and economic infrastructure that helps turn
critical edge data into real-time insights and actions for manufacturing,
energy, and retail organizations. Sunlight‘s Hyperconverged Edge platform is based on the
Sunlight NexVisor Hypervisor. This is a Type 1 Hypervisor built from the
ground-up to support today's high performance hardware technologies with almost
zero overhead.
Litmus Edge unifies data collection, data
analytics, application enablement and data integration in a complete Edge Data
Platform purpose-built for Industry 4.0. With instant connectivity to hundreds
of OT assets, Litmus Edge makes it easy to harness the OT data needed to power
insights at the edge and across the enterprise.
"We
created the Sunlight Hyperconverged Edge Infrastructure and Infrastructure
Manager to solve a real problem that we are seeing at the far edge" said
Sunlight Founder & CEO, Julian Chesterfield. "Leading hyperconverged
infrastructure products in the market were built for the data center - where
space, cooling and power resources are plenty. But this is not the case in
industrial factory environments at the edge. Partnering with Litmus means that
our customers not only gain an efficient, reliable, secure and economic
infrastructure but a complete platform for all of their edge data
requirements."
"Litmus
Edge is rapid-to-deploy and scales easily, providing customers with everything
they need to collect their OT data and put it to work to improve operations,"
said John Younes, Co-founder and COO of Litmus. "This partnership with Sunlight
allows us to meet the needs of the Industrial IoT market with a platform that
enables use cases like condition-based monitoring, predictive maintenance, OEE
improvement, machine learning and AI, at scale."