The software ecosystem technology chain for edge-side AI is driven by practical industry applications and supported
by underlying computing power from hardware such as chips. Through software layers including open-source frameworks,
containerization, operating systems, and toolchains, it achieves efficient hardware-software collaboration. This
technology chain streamlines the entire process from development and deployment to operation, enabling high
performance, low power consumption, and secure, reliable implementation of AI applications on terminal devices. It
empowers innovation in vertical sectors such as finance, healthcare, and smart cities.
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Hardware-level virtualization with support for mainstream enterprise-grade virtualization
deployment/management platforms.
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Supports mainstream Linux operating systems, real-time operating systems, and the Android operating
system.
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Supports containerization deployment technologies and software such as Kubernetes and OpenStack.
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Expands AI frameworks, graphics acceleration frameworks, media frameworks, storage frameworks, web
service frameworks, and computer vision frameworks within the RISC-V ecosystem.
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Rich business models and microservices enable rapid deployment of edge computing services such as
media processing and access, speech recognition, AI visual recognition, and large model computing
acceleration at the edge.
