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Besi Raises Long-Term Financial Targets on Growing AI Chip Demand

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BE Semiconductor Industries (Besi) has raised its long-term revenue and operating margin targets ahead of its investor day, citing strong demand from AI chipmakers adopting its advanced hybrid bonding technology. The Dutch company specializes in the world’s most precise hybrid bonding tools, a key technology for stacking multiple chips directly on top of each other to boost performance.

At the event, Besi’s Senior Vice President Technology Chris Scanlan highlighted that major AI chip designers Nvidia and Broadcom are looking to utilize Taiwan Semiconductor Manufacturing Co’s (TSMC) hybrid bonding process, which could increase demand for Besi’s equipment. Additionally, Intel and AMD are expanding their use of hybrid bonding technology.

Besi now projects long-term revenues between €1.5 billion and €1.9 billion ($1.73 billion to $2.19 billion), up from a previous forecast of €1 billion, and expects operating margins of 40% to 55%, an increase from 35% to 50%. Shares rose 8.4% during the trading day, outperforming the Netherlands’ AEX index.

As traditional performance gains from shrinking chip features approach physical limits, the industry is shifting towards advanced packaging methods like hybrid bonding to create faster, more powerful chips. Limits on reticule exposure in ASML’s lithography machines have also pushed chipmakers to combine multiple chips by stitching or stacking. For example, TSMC recently demonstrated a large package containing over 16 chips stitched together.

While Besi and its investors are optimistic about the company’s position as a key supplier to cutting-edge chipmakers, some analysts expressed caution. Degroof Petercam noted that Besi’s raised targets come despite the company not yet reaching its earlier goals. So far this year, Besi shares have declined by 3.2%.

Nvidia to Build Germany’s First Industrial AI Cloud, Boosting Europe’s AI Infrastructure

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Nvidia announced plans to develop its first artificial intelligence cloud platform for industrial applications in Germany, CEO Jensen Huang said Wednesday at the VivaTech conference in Paris. The AI cloud will combine artificial intelligence with robotics to support automotive giants like BMW and Mercedes-Benz in tasks ranging from product design simulation to logistics management.

Huang also detailed a broader Europe-focused strategy including expanding Nvidia technology centers across seven countries, launching a compute marketplace for European companies, and advancing AI models in multiple languages. The company is supporting drug discovery efforts with partners like Novo Nordisk.

“In just two years, we will increase the amount of AI computing capacity in Europe by a factor of 10,” Huang declared during his nearly two-hour presentation.

Europe is embracing the concept of “AI factories,” large-scale infrastructures dedicated to AI model development, training, and deployment. Huang announced plans for 20 such AI factories across the continent.

Huang is scheduled to visit Berlin Friday and is expected to meet with German Chancellor Friedrich Merz, signaling political support for the initiative.

Though specifics about the plant’s location, cost, and construction timeline were not disclosed, the move could be a win for Germany’s ruling coalition following recent setbacks with Intel and Wolfspeed suspending factory plans.

While Europe trails the U.S. and China in AI development, the European Commission revealed a $20 billion investment plan to build four AI factories earlier this year.

Additionally, Nvidia is partnering with European AI startup Mistral to power AI computing using 18,000 latest Nvidia chips for European enterprises.

“Sovereign AI is an imperative—no company, industry or nation can outsource its intelligence,” Huang said.

He emphasized the importance of AI adoption to avoid falling behind globally and expressed optimism about quantum computing’s near-term impact, noting it could solve complex problems beyond even advanced AI systems.

This announcement reinforces Nvidia’s role as a global AI infrastructure leader and marks a significant step in strengthening Europe’s AI ecosystem.

Nvidia and Perplexity Collaborate with European AI Firms to Enhance Local Language Models

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Nvidia and AI search company Perplexity announced a partnership on Wednesday with over a dozen AI firms across Europe and the Middle East to advance AI technologies tailored to local languages and distribute them to regional businesses.

The collaboration targets countries including France, Germany, Italy, Poland, Spain, and Sweden, aiming to develop reasoning AI models capable of handling complex tasks in languages that traditionally have less training data available. Nvidia plans to assist by generating synthetic data in these languages to improve model performance.

Kari Briski, Nvidia’s Vice President of Generative AI Software for Enterprise, emphasized the importance of strong AI models that capture the unique languages and cultures of each nation. Once refined, Perplexity will facilitate deployment of these models through local data centers, enabling businesses to leverage AI for tasks like research and data analysis.

Perplexity CEO Aravind Srinivas highlighted Germany as one of the company’s largest markets, underscoring the regional demand for localized AI solutions. The partnership announcement was part of a series of updates from Nvidia at an AI conference in Paris, though financial details were not disclosed.

This initiative reflects a growing focus on decentralizing AI development, shifting from dominant English and Chinese models to diverse, localized systems that better serve different linguistic communities.