The desert poplar forests in north China's Inner Mongolia Autonomous Region have turned into a sea of shimmering gold, drawing visitors from across the country.
As autumn reaches its peak, more than 30,000 hectares of desert poplar forests have entered their prime viewing period in Inner Mongolia’s Ejina Banner of Alxa League.
Vast stretches of populus euphratica trees along the river have taken on a radiant golden hue. Under clear skies, the bright golden foliage stands out sharply against the blue water, creating a stunning autumn landscape.
Located at the westernmost tip of Inner Mongolia and downstream of the Heihe River, Ejina is home to one of the world's only three remaining natural desert poplar forests.
Desert poplar forest creates picturesque autumn scene in Inner Mongolia
As demand for inference computing rises, Chinese companies are fighting through bottlenecks by upgrading technologies.
Lanxin Computing in south China's Shenzhen City has developed chips that can run large models on all-in-one AI computers.
"In inference computing, the key factor now is token-generation efficiency. With the rapid growth of AI agents, demand is surging across government services, healthcare, finance and other sectors. Our products are currently in short supply," said Xie Shengluo, co-founder of Lanxin Computing.
Electricity supply for chips is also facing pressure. In high-power applications at computing centers, conventional silicon-based solutions are increasingly challenged by energy losses and heat management.
Wan Yuxi, director of Shenzhen Pinghu Laboratory, leads a team that has developed a gallium nitride crystal film on an 8-inch silicon carbide substrate. It can substantially improve both efficiency and power-delivery capacity when used to charge GPUs.
"Previously, the efficiency of the silicon-based gallium nitride devices we used was only around 85 percent. Devices made using our new platform can raise that to around 95 percent. What does that mean? It means by 2035, we estimate that AIDCs (AI computing data centers) in China alone could require as much electricity as the output of five Three Gorges hydropower stations. After a technology upgrade, the energy losses alone could be reduced by an amount equivalent to the electricity generated by half a Three Gorges station," said Wan.
Chinese companies upgrade inference computing technologies to meet AI demands
