Google is accelerating its schedule for developing and rolling out its own customized chips, shifting from a two-year cycle for each generation to introducing two chips a year and eventually even more…
Amin Vahdat, Google's Senior VP for AI & Infrastructure, announced at SEMICON Taiwan 2026 a 60% expansion of Google's AI infrastructure R&D center in Shilin, Taipei, which opened in late 2025, to enha…
AI lab Mirendil has signed a multiyear partnership with Google Cloud worth upward of $100 million to secure compute capacity for its self-improving AI research, CEO Behnam Neyshabur told TechCrunch. T…
Google split its eighth-generation TPU into two separate chips — TPU 8t for training and TPU 8i for inference — at Cloud Next 2026, driven by the demands of AI agents that generate 50 to 100 times mor…
Google is developing a new AI chip called 'Frozen v2' that could run its Gemini AI model six to ten times more efficiently than current Tensor Processing Units (TPUs), according to a report from The I…
Google researchers Sanjay Ghemawat and Amin Vahdat proposed a 'logical monolith' architecture to decouple code logic from deployment, but critics argue it ignores technical heterogeneity, fault isolat…
A 2023 HotOS paper by Google engineers Sanjay Ghemawat and Amin Vahdat, often misrepresented as declaring microservices dead, actually argues that microservices wrongly bind logical and physical bound…