Accelerating AI: Google Introduces The Ironwood Chip

by News Editor

April 13, 2025

In a significant leap for artificial intelligence, Alphabet (GOOGL.O) has unveiled its innovative seventh-generation AI chip, the Ironwood. This new processor is set to enhance the speed and efficiency of AI applications, such as those powered by OpenAI’s ChatGPT, by performing high-speed data crunching known as ‘inference’ computing.

This development is part of Google’s long-term investment in AI technology, presenting a viable alternative to Nvidia’s dominant chips in the market. Google’s tensor processing units (TPUs), accessible through the company’s cloud services, provide a competitive edge by streamlining AI model development and operational costs.

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The Ironwood chip, introduced at a recent cloud conference, is optimized for running AI applications, known as inference tasks, working in massive groups of up to 9,216 chips. These advancements consolidate previous chip designs while increasing memory capacity, making them ideal for modern AI challenges.

Amin Vahdat, Google’s Vice President, emphasized that inference computing’s importance is rapidly increasing. Ironwood chips offer twice the performance efficiency compared to last year’s Trillium chips. While the specific manufacturer of these chips remains undisclosed, the integration of the Ironwood chip into Google’s Gemini AI models is notable.

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SoftBank Shares Tumble Amid Tech Profit Taking And High-Risk AI Investments

by THEFUTURE.TEAM

June 4, 2026

Market Sell-Off And Profit Taking

SoftBank Group’s share price plunged over 11% following an overnight sell-off in the U.S. market, as broader profit taking in the technology sector weighed on investor sentiment. Major Asian technology players, including TSMC and Foxconn, experienced similar declines, reflecting a cautious approach among investors despite recent gains.

High-Stakes AI Investments

Despite this short-term volatility, SoftBank’s year-to-date share price surge of approximately 70% is largely fueled by robust investor enthusiasm around its high-risk bets on artificial intelligence. Concerns persist over these aggressive investments, even as the market continues to rally on the promise of AI-driven returns.

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Global Technology Landscape

In the broader market, South Korean giants such as Samsung and SK Hynix witnessed modest declines of 1.25% and 2.75%, respectively, following profit taking after surpassing key market valuations. Similarly, overnight in the U.S., semiconductor leader Nvidia fell 3.62%, while Alphabet and Amazon saw declines of 0.79% and 2.5%, respectively.

Long-Term Vision Versus Short-Term Focus

SoftBank CEO Masayoshi Son has been vocal about the transformative potential of artificial intelligence, predicting that the AI revolution could be 50 times larger than the dot-com boom of the 2000s. However, as noted in a recent investor note by Deutsche Bank analyst Peter Milliken, market enthusiasm appears narrowly fixated on short-term momentum rather than a detailed long-term roadmap.

Strategic Asset Reallocation

Adding another layer to the unfolding narrative, SoftBank recently divested a 3.25% stake in Indian eyewear maker Lenskart through its affiliate SVF II Lightbulb (Cayman). The transaction, which involved selling 56.5 million shares at 508.55 Indian rupees each (approximately $5.32 per share), valued the deal at nearly 28.73 billion rupees. Following the sale, SoftBank’s shares traded at 7,377 yen, marking an 11.3% drop.

This dynamic environment underscores the challenges of balancing aggressive, innovation-driven investments with the need for prudent risk management in volatile markets.

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