Sunlight.io, an edge computing solutions provider, says upgrades to the NexVisor hyperconverged stack will now support the Nvidia Jetson platform running on the enterprise-focused Lenovo SE70 edge AI system.
Sunlight.io’s effort to bring support for the NexVisor software beyond the conventional Intel x86 and Arm architecture has resulted in the launch of a beta program, dubbed Project Rosie. The integration of Sunlight.io NexVisor with support for the Jetson platform in the Lenovo ThinkEdge SE70 will enable developers to quickly deploy edge AI applications the companies say.
Enterprises require real-time “insight to action” for a wide range of use cases, including manufacturing, healthcare, and robotics, according to Sunlight. In AI applications where low latency and high processing power is demanded, hyperconverged infrastructure (HCI) can simplify the process of deployment. However, data center HCI needs large amounts of RAM and CPU power, which is not available in edge computing applications, executives explain. With Sunlight.io NexVisor’s hyperconverged stack, developers will be able to efficiently implement and manage edge applications through dashboard tools. The control options provide the flexibility to manage several parameters of the Sunlight.io NexVisor cluster, including control of CPU, storage, network configuration, and performance.
“Our customers realize the advantages of edge AI and deploying solutions closer to the point of data capture to run real-time inferencing,” said Scott Tease, VP for HPC and AI at Lenovo. “That is why we are so excited to be partnering up with Sunlight.io as they support our edge portfolio to significantly improve the efficiency and economics of AI deployments for customers worldwide.”
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Sunlight.io NexVisor stack is installed on a bare-metal server in less than 10 minutes or can also be used on-demand in AWS environment, the company says. NexVisor is a Type1 hypervisor built to support high-performance hardware platforms with minimum overhead. The solution simplifies the migration of virtual machines from hypervisors, such as VMware, and run AWS AMIs natively. The bare-metal performance supports high-performance IO peripherals, such as NVMe storage and network hardware.
“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 at Sunlight.io. “Together, we have been able to produce an industry-first solution by combining Sunlight.io’s turn-key, edge-as-a-service offering with Lenovo’s leading AI edge platform powered by NVIDIA Jetson.”
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Sunlight.io was recently named a Gartner Cool Vendor. Other edge computing startups named in the report include Edge Impulse, an IoT development platform for machine learning on edge devices, and Avassa, an edge orchestration platform to bridge the gap between distributed edge environments and modern applications.
edge AI | GPU | HCI | hyperconverged | hypervisor | Lenovo | Nvidia | Sunlight.io