Google and Marvell Team Up on Custom AI Chips as Agentic AI Drives New Hardware Demands
infrastructure#chips📝 Blog|Analyzed: Apr 21, 2026 04:34•
Published: Apr 21, 2026 04:33
•1 min read
•Qiita AIAnalysis
This development highlights a thrilling evolution in AI hardware, showcasing how industry giants are collaborating to push the boundaries of processing power. By optimizing specifically for memory handling and Large Language Model (LLM) inference, these new chips will dramatically expand the design possibilities for developers. Furthermore, the prediction that Agentic AI will supercharge the CPU and memory markets opens up incredible opportunities for infrastructure growth and architectural innovation.
Key Takeaways
- •Marvell and Google are co-developing two new AI chips, leading to an almost 6% surge in Marvell's stock and an 84% year-to-date increase.
- •Agentic AI is expected to drive a massive $32.5 to $60 billion increase in data center CPU demand by 2030, expanding focus beyond just GPUs.
- •Developers can look forward to greater strategic flexibility in model deployment and latency budgets thanks to these new specialized accelerators.
Reference / Citation
View Original"According to reports, one of the chips is a memory processing unit that works in conjunction with Google's TPUs, serving to accelerate data movement between memory and arithmetic units, while the other is a new generation of TPUs designed for inference workloads to improve inference efficiency."
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