AMD specific news
“India’s semicon business push triggers race for domain expertsedit
The story talks about India’s semiconductor sector seeing a hiring surge with companies actively recruiting for specialized roles. Fathima highlights that AMD India, which houses about a quarter of AMD’s global workforce, is ramping up engineering talent across teams to support growing demand in data centres and high-performance computing. She also emphasised the global scarcity of specialised semiconductor skills, positioning AMD India as a key player in strengthening the country’s semiconductor ecosystem.
Publication: The Economic Times
AMD and Meta expand strategic partnership to deploy 6 gigawatts of AMD GPUs for AI infrastructureedit
US chipmaker AMD and Meta Platforms on Tuesday (February 24) announced a 6-gigawatt agreement to power Meta’s next generation of AI infrastructure across multiple generations of AMD Instinct GPUs. The agreement builds on the companies’ existing strategic partnership and aligns roadmaps across silicon, systems, and software to deliver AI platforms purpose-built for Meta’s workloads.
Publication: CNBC TV18
Competition in news
IBM to Expand Quantum, Cloud Investments in India: Ashwini Vaishnawedit
Union Minister for Electronics and Information Technology, Ashwini Vaishnaw, has said that IBM is planning significant investments in quantum computing and cloud infrastructure in India. The move is expected to generate new opportunities for the country’s expanding technology workforce.
Publication: Analytics India Mag
Nvidia is building an AI Superpark in Bengaluru, 25,000 techies will come together to make AI for the worldedit
Nvidia has announced its partnership with Bharat1 AI Research & Innovation City to set up a large-scale AI Superpark in Bengaluru. The company plans to use this Superpark to bring in around 25,000 researchers and engineers to create AI solutions for worldwide use.
Publication: India Today
Nvidia Teams Up with Bharat1 to Launch Massive AI Superpark in Bengaluruedit
Nvidia has announced a major partnership with Bharat1 AI Research & Innovation City to establish a large-scale AI Superpark in Bengaluru, marking one of the most ambitious AI infrastructure initiatives in India to date. The project is designed to bring together approximately 25,000 researchers, engineers and innovators to build advanced artificial intelligence systems for global markets.
Publication: The Hans India
Industry news
India Chip begins work on factory in Noida, aims to process 20,000 wafers per month when operationaledit
India Chip, a joint venture between HCL Group and Foxconn, has started building its factory in Noida. The factory, which saw its foundation stone laid down by PM Narendra Modi a few days ago, will assemble, package and test display driver chips which power screens in smartphones, TVs, laptops and other electronic devices.
Publication: India Today
India Builds Deep Semiconductor Talent for AI Eraedit
The session on semiconductor workforce in the age of artificial intelligence at the India AI Impact Summit 2026 framed talent development as the decisive link between India s AI ambitions and its semiconductor manufacturing roadmap.
Publication: Construction World
IBM eyes major India push with fresh quantum and cloud investmentsedit
Union Minister of Electronics and Information Technology Ashwini Vaishnaw said IBM is planning investments in quantum computing and cloud infrastructure across India, a move expected to create new opportunities for the country s growing technology talent pool.
Publication: Communications Today
Adani, Reliance commit $210 billion to build India’s AI data centre backboneedit
India’s ambition to become a global artificial intelligence powerhouse received a major boost at the 2026 AI Impact Summit in New Delhi, where Adani Group and Reliance Industries together pledged investments worth $210 billion to develop hyperscale data centre infrastructure across the country. The announcements, among the largest private commitments to digital infrastructure in India, are expected to significantly expand domestic AI computing capacity and reduce reliance on overseas cloud and processing resources.
Publication: VAR India
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