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Google doesn't want to depend on Nvidia anymore.
And they just made their most aggressive move yet to break free.
Google is in active talks with Marvell to build custom AI chips specifically designed for inference.
Let that sink in.
Not training. Inference.
The part of AI that runs billions of times per day every time you use ChatGPT, Gemini, or any AI product.
This is where the real compute war is being fought right now.
Training happens once. Inference never stops.
Whoever controls inference-optimized silicon controls the economics of the entire AI industry.
Google already has TPUs. But they're pushing further.
Custom silicon with Marvell means purpose-built chips that can run AI responses faster, cheaper, and at a scale that general-purpose GPUs simply weren't designed for.
This is the move that changes unit economics across the entire stack.
Less Nvidia dependency. Lower costs per query. Higher margins at scale.
Marvell's stock hasn't fully priced in what a Google partnership at this level actually means.
And Nvidia just got a very loud warning shot.
The hyperscalers are done waiting for Santa Clara to solve their problems.
They're building the future themselves.
The AI chip race just entered its most dangerous phase for incumbents.
#Nvidia ⁰#Google #Marvell #AIChips #SemiconductorStocks

Arm deepens its AI push as it sells a full CPU for the first time in 35 years

🚀 Arm has just marked a major turning point by launching and selling a complete CPU for the first time, instead of only licensing chip designs as it did before. The Arm AGI CPU was introduced in San Francisco on March 24, showing that the company wants to move further up the AI value chain rather than remain behind the ecosystem.

⚙️ The chip uses the Neoverse V3 architecture, offers up to 136 cores, is built on TSMC’s 3nm process, and is optimized for AI inference in data centers. The key point is not only the hardware itself, but that Arm is now targeting the fast-growing agentic AI wave, where demand for automated task execution continues to rise.

🤝 Meta is the lead partner and first customer, giving Arm’s commercial story much more weight. The fact that the chip will run alongside Meta’s MTIA also suggests that major tech companies are trying to diversify chip supply and reduce dependence on a small group of familiar vendors.

📈 The market reacted strongly as Arm shares rose 15–20%, adding more than 29 billion USD in market value. That move shows investors are starting to view Arm not just as a royalty-driven company, but as a player aiming for a larger role in AI infrastructure.

#AIInfrastructure #SemiconductorStocks $FET $LINK $WLD