The tech world loves a buzzword or two. Right now, it's all about artificial intelligence. With chatbots like ChatGPT and Bard exploding onto the web and attracting massive amounts of users in a short amount of time, it's no surprise that so many manufacturers over at Taiwan's major tech show, Computex, had something to say about AI.

Phrases like "Tap into the future of AI" and "Future of Computing" were splayed across booth after booth. If not that, a portrait of the leather-clad Nvidia CEO, Jen-Hsun Huang, instead. Yes, Nvidia was the name on everyone's lips at Computex, and Jen-Hsun was a bit of a superstar about town. Everywhere he went, people clamoured for a selfie around him. Even Paul from our sister site Tom's Hardware managed to score one.

Nvidia's share price has skyrocketed for all the interest in the company, thanks to the AI boom. Since May, it has increased between 70-95%. It has something all of these companies want: number-crunching GPUs. Specifically, number-crunching GPUs with acceleration and an ecosystem to support new-fangled and ever-more-powerful artificial intelligence. Beyond the slew of mega-expensive AI acceleration systems just announced at the show, Nvidia's H100 GPUs are in high demand for the running of AI.

Nvidia’s success with the metaverse is impressive. Its Omniverse tool is currently the leading tool for most autonomous machine simulations and training, including autonomous cars. But the creation of these metaverse elements remains work-intensive, making it necessary for ever more automated and intelligent tools to create these elements more quickly and inexpensively.

Neuralangelo and DiffCollage are two such tools coming out of Nvidia’s broad effort to help companies and governments spin up metaverse instances that can be used for simulation and testing, thus giving users of Nvidia’s Omniverse tool faster time-to-value.

It is efforts like this that are creating the commercial metaverse of tomorrow and assuring that, at least in the commercial space, the metaverse isn’t just real but also incredibly useful.

Say it with me: Arm doesn’t sell chips. But it does design CPU and GPU cores its licensees can optionally use. What’s new?

Cortex-X4 (big CPU): 15% more perf, 40% less power

Cortex-A720 and A520: 20% and 22% more efficient, respectively

Immortalis-G720 (the GPU): 15% more perf, 40% lighter on memory bandwidth

Last time, they only came together in the MediaTek Dimensity 9200, which arrived in the Vivo X90, X90 Pro and Oppo Find X6.

China’s permissiveness toward these developments, hint that the country might potentially be eyeing economic growth in the Web3 and blockchain space.

Now, municipal authorities across at least 30 Chinese cities are experimenting with Web3 and other emerging technologies like AI. Recently, Beijing’s local government announced a Web3 white paper in Beijing’s “Silicon Valley,” otherwise known as Zhongguancun.

For two years, the Beijing government will provide $14 million a year to help “the Celestial City” transform into a global hub of Web3 innovation, specifically enhancing the city's push into the metaverse.

Apple released the Vision Pro headset, the company’s first major new product in a decade, days after Meta Platforms announced the Meta Quest 3 headset. Lenovo launched its ThinkReality VRX headset, aimed at enterprise use cases last week.

McKinsey’s report indicates that this convergence between the physical and digital domains is becoming “a major future opportunity,” but what does the news herald for the Chinaverse?

As of today, the country’s eagerness to delve into the virtual world is becoming progressively clear. The estimated market size of the metaverse industry in the country has reached upwards of $8 trillion, as reported by financial services company Morgan Stanley back in February, while global market intelligence firm IDC also predicted that 37 million Chinese online users will have a virtual identity on metaverse platforms by 2025, as outlined in global innovation agency Fabernovel’s “Into The Chinaverse” study.