As physical AI and robotics draw unprecedented market attention, a key bottleneck is clogging the deployment pipeline: quality, real-world physical data. To move applications from the lab to real-world deployment, companies are getting creative in overcoming this obstacle while balancing affordability, stability, and data volumes.
China is accelerating construction of its national computing network, and a growing share of new capacity is likely to use supernodes. With domestic AI accelerators still trailing leading global chips in single-card performance, Chinese vendors are increasingly relying on larger card counts, high-speed interconnects and system-level optimisation to close the gap.
With global TV demand slowing and panel prices continuing to fall, display makers are facing intensifying profit pressure. Analysts say the industry’s bottleneck extends beyond low-priced Chinese competition and reflects a broader reshaping of the consumer electronics value chain, with OLED’s next growth phase likely to depend on lower manufacturing costs and wider adoption in IT devices.
As AI chip value and integration complexity keep rising, King Yuan Electronics (KYEC) President Gauss Chang said semiconductor testing is shifting from being considered “part of the supply chain” to a “part of the process.” He said the supply chain is also moving toward a new collaboration model built around four integrated elements: equipment, accessories, testing, and products.
No account yet?
Create an Account
