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In a significant move to consolidate its leadership in the booming artificial intelligence market, NVIDIA has entered into a major licensing partnership with AI inference chip startup Groq, securing access to its pioneering Language Processing Unit (LPU) architecture. The deal, announced on December 26, 2025, goes beyond intellectual property, as NVIDIA will also absorb Groq’s founder and CEO, Jonathan Ross, along with key members of his engineering team. This strategic acquisition of both technology and talent underscores a pivotal moment in the AI hardware landscape: the intensifying battle for dominance not just in AI training but, critically, in the high-stakes, real-time world of AI inference.

In a significant move for India’s electric mobility infrastructure, Bengaluru-based deep-tech startup Naxatra Labs has raised $3 million in a funding

In a powerful affirmation of India’s ascendant role in the global technology landscape, San Francisco-based AI DevOps leader Harness is launching a massive expansion of its India operations, with plans to hire over 1,000 engineers in the coming years. This strategic move, centered on the company’s Bengaluru R&D hub, is a direct response to a seismic shift in software development: the explosion of AI-generated code. Founded by Indian-American serial entrepreneur Jyoti Bansal, creator of the multi-billion dollar success AppDynamics, Harness is positioning its Indian team not as a support center but as the core engine for its next phase of AI innovation.

The technology industry has always been a powerful engine of wealth creation, but the current Artificial Intelligence (AI) revolution is accelerating this process at an unprecedented rate. A new cohort of founders, many still in their twenties, has reached billionaire status not over decades, but in a handful of years. This phenomenon is fueled by a potent mix of technological democratization, massive capital influx, and a market that rewards foundational innovation in the AI stack. Their stories highlight a seismic shift where age and traditional experience are less relevant than vision, technical depth, and the ability to execute at the frontier of AI.