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Computex 2024 to Spotlight AI Innovations, Nvidia’s Jensen Huang Takes Center Stage

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Taiwan’s Computex trade show, set for May 20–23, will once again shine a spotlight on artificial intelligence, with Nvidia CEO Jensen Huang expected to headline the event. With 1,400 exhibitors lined up, this year’s focus extends beyond AI-powered devices to global economic shifts and the geopolitical implications of U.S. tariffs.

Huang, known for sparking “Jensanity” at last year’s event, will deliver the keynote speech Monday. He’s anticipated to announce expanded partnerships with leading Taiwanese AI server manufacturers like Foxconn and Quanta. Analysts believe Huang may also reference recent U.S. policy changes, including trade tariffs and the ongoing effort to reduce supply chain dependence on China.

“Obviously, Nvidia relies a lot on the Taiwanese ecosystem to deliver,” said Ian Cutress, chief analyst at More Than Moore. Nvidia recently pledged to produce $500 billion worth of AI servers in the U.S. over the next four years, in collaboration with TSMC, Foxconn, and Wistron.

Other tech giants will also make major appearances:

  • Qualcomm will present developments in AI PCs.

  • MediaTek is set to unveil its strategy for edge and cloud AI.

  • AMD will showcase advancements in gaming and AI-powered personal computing.

  • Intel’s new CEO, Lip-Bu Tan, while skipping a public speech, will meet privately with key Taiwanese partners.

  • Advantech, a leader in industrial computing, returns after a decade to reveal new AI systems for business applications.

The event arrives amid concerns over tightened export controls on advanced AI chips to China and heightened pressure from the U.S. to relocate manufacturing stateside. These dynamics have shifted the industry’s focus from traditional B2C electronics to enterprise-level AI and industrial innovation.

“Taiwan has also changed,” said Advantech Chairman K.C. Liu. “The industry has shifted toward AI. It’s no longer enough to focus solely on consumer goods.”

Computex 2024 is expected to serve not only as a showcase for the latest AI breakthroughs but also as a barometer of how companies are navigating complex global supply chains and political risks in the tech sector.

Jeff Bezos Leads $72M Investment in AI Data Firm Toloka to Fuel U.S. Expansion

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Jeff Bezos, through his personal firm Bezos Expeditions, is leading a $72 million funding round in Toloka, an AI data solutions company aiming to scale its global presence, particularly in the United States, Toloka told Reuters on Wednesday.

Toloka specializes in training and evaluating AI models using a global network of human experts and testers, providing high-quality data labeling and validation. The company is part of Nebius Group (NBIS.O), an AI infrastructure firm listed on Nasdaq and formerly affiliated with Russian tech giant Yandex.

The investment marks a significant milestone for CEO and founder Olga Megorskaya, who said the funding would accelerate product development by fostering collaboration between AI agents and human experts.

“There will always be the need for control, verification, and help from human experts to ensure that the result is actually of high quality,” she said.

Strategic Backing and Global Shift

The deal comes after Nebius successfully split from Yandex in a $5.4 billion exit from Russia, the largest corporate withdrawal since the 2022 Ukraine invasion. The restructuring allowed Nebius and Toloka to pursue Western capital without violating sanctions.

Other notable participants in the round include Mikhail Parakhin, CTO of Shopify, who will also serve as Toloka’s executive chairman. Parakhin emphasized the urgent global demand for trusted AI data solutions.

In late 2023, Nvidia invested in a $700 million private placement in Nebius, highlighting growing institutional interest in AI infrastructure and tools.

With this latest funding round:

  • Bezos Expeditions and other new investors gain equity

  • Nebius retains a majority economic stake, but gives up majority voting control, enabling Toloka to operate independently

  • A future funding round is anticipated, Megorskaya said

The investment underscores a broader trend of scaling AI companies focused on high-quality data pipelines, as tech giants like Amazon, Microsoft, and Anthropic increasingly rely on curated training datasets for safe and effective AI model development.