In 2026, physical AI has entered a period of scaled deployment. Asset-heavy industries such as manufacturing, retail, and supply chain are facing a paradigm shift from digitization to intelligence. Beijing RiseUnion Technology Co., Ltd. was recently invited to the “2026 Greater Bay Area AIoT Innovation & Growth Salon.”
RiseUnion shared the stage with leading enterprises including Today International, Pilot Technology, and BYD, engaging in deep discussions on AI large model private deployment, compute cluster scheduling, and intelligent manufacturing transformation.
The salon brought together over 40 enterprise GMs, CIOs, and digital transformation directors. As an AI compute technology provider, RiseUnion shared its scaled deployment results in heterogeneous compute pooling and domestic AI compute infrastructure.
Precision Compute Scheduling: The Neural Foundation of Physical AI
From Today International’s smart warehouse AGV solutions to BYD’s enterprise 1+6+N AI architecture, industry consensus is clear: AI is reshaping the physical economy. However, pain points such as low compute utilization, difficult resource scheduling, and slow private deployments remain prominent.
The 2026 manufacturing environment is extremely complex. Enterprises don’t simply need more servers — they need scheduling systems that can work across global and domestic chips while maximizing hardware performance.
RiseUnion presented three core technical capabilities:
Multi-chip, one cloud — eliminating vendor lock-in — Rise VAST enables unified management of heterogeneous compute from NVIDIA, Ascend, KunlunXin, and more. Whether heavy training clusters or lightweight edge inference nodes, all work within a single resource pool.
vGPU slicing for maximum efficiency — Through GPU virtualization and Rise CAMP scheduling strategies, enterprises can multiply their compute utilization. In a manufacturing sector focused on cost reduction, this means more business value from less hardware.
Full-lifecycle MaaS support — Rise ModelX provides an end-to-end pipeline from algorithm development to model deployment, lowering the barrier for traditional manufacturers to adopt AI.
As a lead drafter of the “Heterogeneous AI Compute Virtualization and Pooling System Requirements” group standard, RiseUnion’s technical solutions serve as an industry benchmark.
Field-Proven: Results from the Greater Bay Area and Beyond
RiseUnion’s core solutions have been validated across multiple sectors:
- Finance — Managing 600+ heterogeneous servers for a state-owned bank, boosting utilization by 50%+ and supporting risk control and marketing AI workloads
- Manufacturing — Hybrid cloud management unifying local GPU and cloud resources, enabling elastic upgrades to intelligent manufacturing architectures
- Retail — Selected for CCFA’s “2025 Retail Technology Emerging Enterprise Growth Program,” helping retailers reduce hardware investment by 30%+ and improve task processing efficiency by 50%
Conclusion
Compute is the electricity of the AI era, and an efficient management platform is the smart grid.
RiseUnion will continue to advance heterogeneous compute pooling technology, collaborating with ecosystem partners across the Greater Bay Area and beyond to transform uncertain technical challenges into reliable business growth. In the age of physical AI, every chip should be put to its fullest use.
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