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Ashutosh Maurya
Ashutosh Maurya

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🧩 Custom AI chips are becoming a strategic weapon against GPU dependence

Marvell Technology Marvell Technology recently announced a custom-chip arrangement with Google. Google that includes a potential $12.2 billion stock warrant for Google. Reuters reported that the deal is tied to developing Google's in-demand custom AI chips.

Separately, Broadcom is reportedly seeking more than $60 billion in a debt deal connected to AI infrastructure financing.

Why it matters

The AI-chip market is evolving from:

Buy general AI GPU

Run everything on it

toward:

Training workload → specialized hardware
Inference workload → specialized hardware
Cloud provider → custom accelerator

This does not mean GPUs disappear. It means AI workloads are becoming specialized enough that companies increasingly want better control over cost and performance.

About the Author -> I am Ashutosh Maurya, a Senior Full-Stack Developer with 6+ years of experience in high-performance UI development and the MERN stack. I specialize in building scalable architectures like Schooliko and AI-integrated platforms. My goal is to bridge the gap between complex backend logic and seamless frontend experiences.

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