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What’s New Today: Meta has entered a long-term agreement with Nvidia to buy millions of AI chips, including Blackwell and future Rubin GPUs, along with Grace and Vera CPUs. The move strengthens Meta’s data center capabilities and deepens its AI infrastructure partnership.
Fast-Track Insights: Qualcomm, through Qualcomm Ventures, will invest up to $150 million in Indian startups. The funding will support AI, automotive tech, IoT, robotics, and mobile innovation, highlighting India’s growing importance as a global tech hub.
Here’s a quick rundown of the biggest tech headlines making waves today. Let’s dive into the day’s top tech stories, from Meta’s expanding AI chip collaboration to Qualcomm’s major investment push in India.
Meta has agreed to a new long-term deal with Nvidia to buy millions of its AI chips, including current and future GPUs plus standalone CPUs, to power its growing data centers. The agreement strengthens Nvidia’s role in Meta’s AI infrastructure as Meta also works on its own chips and explores other options. Financial terms were not made public.
Qualcomm Ventures will invest up to $150 million in Indian startups to support growth in technology and innovation. The company will focus on areas like artificial intelligence, automotive tech, IoT, robotics, and mobile technology. Qualcomm said India is an important and fast-growing market with strong startup potential and talent.
The Access Group celebrated the success of its first Graduate Academies in Kuala Lumpur. A total of 38 Malaysian university graduates completed training in Product & Engineering and GTS. The program helps young people build real tech and workplace skills, giving them confidence and a strong chance to move into full-time junior roles.
An article by Analytics Insight explains that AI agents are becoming like a new operating system for software. Instead of just answering questions, they can plan, remember, use tools, and complete tasks on their own. Developers need to design clear goals, strong system connections, memory handling, and safety controls to build reliable agent-based applications while managing risks and complexity effectively.
The U.S. Internal Revenue Service’s anti-money-laundering unit for cryptocurrency exchanges has seen its staff shrink to the lowest level since at least 2017, even as crypto use surges and firms handle trillions in transactions. Critics say reduced oversight weakens safeguards against dirty money, leaving regulators struggling to supervise complex risks amid broader policy rollbacks.
