Alphabet's Google (NASDAQ: GOOGL) is reportedly developing its next-generation AI accelerator, "Frozen v2," targeted for deployment in 2028. The custom chip is designed to run Gemini AI models with up to 10x greater efficiency than current Tensor Processing Units (TPUs), helping Google expand AI capabilities while reducing infrastructure costs. Sector: Technology / Artificial Intelligence Key Highlights: 🤖 Developing "Frozen v2" as Google's next-generation AI accelerator ⚡ Targets up to 10x higher efficiency for running Gemini AI models 🧠 Designed to optimize both AI training and inference workloads 💡 Aims to reduce compute constraints, power consumption, and operating costs 🏭 Expands Google's long-term investment in custom AI silicon instead of relying solely on third-party GPUs 📈 Supports the growing demand for large-scale generative AI services across Google's ecosystem Why It Matters As AI models become larger and more computationally intensive, custom chips are becoming a strategic advantage for major technology companies. A more efficient in-house AI processor could help Google scale Gemini faster, lower infrastructure costs, improve performance, and reduce dependence on external hardware suppliers in the increasingly competitive AI market. https://www.thinksabio.com/isr/reports/#GOOGL