Sunlight is a Lenovo Innovator Program partner and an NVIDIA Inception member
CAMBRIDGE, UK (June 28th, 2022) – Sunlight.io, the edge infrastructure company, today announced support for the NVIDIA Jetson™ edge AI platform, and the Lenovo SE70, with the launch of its beta program — ‘Project Rosie.’ Sunlight NexVisor is the first full hyperconverged stack to support the Arm-CPU-based NVIDIA Jetson. Sunlight NexVisor coupled with the Lenovo SE70 makes it easy to deploy AI applications anywhere at the edge. Application developers can be the first to access the technology and test their AI applications by applying here.
AI is a ‘killer application’ at the edge where it is bringing real-time “insight to action” across a wide range of use cases. For example, computer vision — combining cameras, video streaming and analytics — is being implemented at drive-thrus nationwide for faster and more personalized food ordering; on manufacturing production lines to instantly identify and remove faulty items; and across smart cities to enhance population and crowd security. These sorts of AI applications need high levels of processing power with low latency and reliable networking in order to give real-time results.
Enterprises want to replicate the simplicity of the hyperconverged infrastructure they enjoy in their core data centers for their edge AI applications. However, datacenter HCI isn’t able to run in the constrained environments that exist at the edge due to their large RAM and CPU overhead and lack of edge management capabilities. This makes edge deployments extremely resource intensive to manage and hard to scale.
Sunlight NexVisor is the only hyperconverged stack that is able to run on both x86 and Arm architectures and with a tiny footprint suitable for constrained edge environments. It includes centralized management and application deployment capabilities. NVIDIA Jetson is the world's leading platform for AI at the edge. NVIDIA Jetson modules are small form-factor, high-performance computers containing an Arm processor and GPU. The combination of Sunlight NexVisor and the NVIDIA Jetson-powered Lenovo ThinkEdge SE70 makes it possible to run demanding edge AI applications in harsh environments that span hundreds or thousands of sites with easy single-pane-of-glass management, low TCO and tiny power and space requirements. Sunlight is a member of NVIDIA Inception, a global program designed to nurture cutting-edge startups.
Scott Tease, Lenovo’s VP for HPC and AI said, "Our customers realize the advantages of edge AI and deploying solutions closer to the point of data capture to run real-time inferencing. That is why we are so excited to be partnering up with Sunlight as they support our edge portfolio to significantly improve the efficiency and economics of AI deployments for customers worldwide."
“We are excited to launch this exclusive beta program for users who need to run efficient, manageable AI out where the data is generated — at the edge,” said Julian Chesterfield, Founder and CEO of Sunlight. “Sunlight already offers full support for the Lenovo ThinkEdge and ThinkSystem range, including the Intel-based SE30, SE50, SE350 and SE450. Together, we’ve been able to produce a truly industry-first solution by combining Sunlight’s turn-key, edge-as-a-service offering with Lenovo’s leading AI edge platform powered by NVIDIA Jetson. Sunlight was born out of a collaboration with Arm back in 2013 to build a lightweight hypervisor, and we’re seeing huge demand for the use of Arm-based servers at the edge due to their performance and power-efficiency.”
The Sunlight Edge is a reliable, secure, zero-touch and economic infrastructure that helps turn your critical edge data into real-time insight and action across your retail stores, manufacturing lines and smart cities.
Sunlight makes running and managing applications and infrastructure at the edge as easy as in the cloud. Sunlight works with efficient, ruggedized edge hardware — so you can consolidate all of your in-location edge applications with full isolation, security and high availability.
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