Edgenesis Joins SUSECON, Partnering with SUSE to Build Edge Intelligence Solutions
Edgenesis, as a key partner of SUSE in the field of edge AI, participated in the SUSECON conference held in Shanghai on September 26, 2024. Co-founder Tom Qin delivered an engaging keynote speech, diving deep into edge AI technologies and the innovative solutions jointly launched by Edgenesis and SUSE.
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Focusing on Current Pain Points in the Industrial Internet of Things (IIoT)
Device Heterogeneity: IoT devices often come from different manufacturers, using varying hardware and communication protocols, making inter-device communication challenging and increasing the complexity of system integration.
Data-Physical Interaction: There are difficulties in interaction between data and physical devices. Many traditional industrial devices are not fully digitized, making real-time data collection and intelligent control difficult, which impacts the comprehensive application of AIoT.
Platform Monopoly: Large hardware manufacturers create technological barriers through proprietary protocols and closed platforms, restricting seamless collaboration across platforms and hindering the overall development of the industry.
Complex Operations and Maintenance: As the scale of devices expands, operations and maintenance become increasingly complex. Managing, updating, and monitoring different devices requires substantial human resources and time, and traditional maintenance methods struggle to cope with this complexity.
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Edgenesis Presents a Breakthrough Solution:
In this context, Edgenesis introduces a groundbreaking solution—Shifu, a Kubernetes-native IoT gateway. Shifu facilitates seamless connectivity between applications and devices, bridging the "last mile" of IoT devices and paving the way for true embodied intelligence. The core advantage of Shifu, as the "neural system of AGI", lies in its architectural design, which enables seamless connections between IoT devices and applications. By supporting high-level proxy communication across various protocols, it ensures efficient data transmission between devices and applications. Additionally, it can handle drivers for various IoT devices, breaking down the barriers imposed by device heterogeneity and providing standardized API interfaces for easier access to and management of device data. Shifu's highly flexible scalability supports the parallel operation of multiple devices and applications, enhancing collaboration efficiency in edge AI and helping enterprises achieve smarter device collaboration.
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Partnering with SUSE, Looking to the Future:
Furthermore, the innovative solutions resulting from the collaboration between Edgenesis and SUSE were detailed, including SUSE's edge system SLE-Micro, cluster management platform Rancher Prime, and container security platform NeuVector, enabling seamless collab1oration between edge and cloud. This joint solution brings new technological advantages to the AIoT field and further promotes the integrated development of cloud and edge AI.
The strong alliance between Edgenesis and SUSE signifies a deepening cooperation in open-source technology, edge AI, IoT, and other fields. This presentation not only showcased our technical strength but also conveyed Edgenesis's commitment to promoting innovation in edge computing and AIoT.
Tackle Industrial IoT Challenges at the Edge with SUSE x Edgenesis White Paper: Connecting Industrial IoT Devices at the Edge.
Thank you for your continued attention and support! Edgenesis will explore more innovative technologies in the future to drive industry transformation and development!
