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Google has deepened its partnership with Marvell Technology for custom AI chips, securing a warrant to purchase shares tied to $120 billion in revenue.
Google has expanded its partnership with Marvell Technology to develop custom AI silicon, a move that includes a warrant allowing Google to purchase up to 58.97 million Marvell shares at $206.58 each [2]. The agreement, signed July 29, ties the potential $12.18 billion equity stake to future purchases of custom AI infrastructure, signaling a long-term commitment to internal chip development as cloud providers race to reduce reliance on third-party hardware [2].
| At a glance | |
|---|---|
| Primary Partner | Marvell Technology |
| Potential Equity Value | $12.18 billion |
| Revenue Threshold | $120 billion |
| Agreement Date | July 29 |
The expanded agreement covers a broad range of custom semiconductor products designed to integrate with Google’s Tensor Processing Unit (TPU) ecosystem [2]. Specifically, Marvell will supply AI inference accelerators, storage controllers, and network and memory interface controllers [2]. By incorporating near-memory computing—which places processing closer to memory to minimize data movement—Google aims to optimize the performance of its AI Hypercomputer architecture [2].
While the deal marks a significant deepening of ties, Google continues to maintain a multi-supplier strategy. Broadcom remains a key partner, with a separate long-term agreement to develop and supply custom TPUs and networking components for future processor generations [2]. This dual-track approach allows Google to manage supply chain risks while deploying its own hardware alongside Nvidia GPUs, which remain a staple of the Google Cloud accelerator portfolio [2].
Google’s move mirrors a broader industry trend among hyperscalers seeking to control their own AI infrastructure costs. Amazon, Microsoft, and Meta are all aggressively developing proprietary accelerators to handle the intensive demands of generative AI and inference workloads [2]. Amazon has linked its Trainium chips to potential multi-billion dollar reductions in capital expenditure, while Microsoft’s Maia 200 and Meta’s MTIA family are similarly focused on optimizing performance-per-dollar for internal services [2].
The financial structure of the Google-Marvell deal also reflects a growing trend of using equity warrants to align incentives between cloud providers and chip designers. Similar to the agreement between AMD and OpenAI, which ties share vesting to the deployment of specific GPU volumes, Google’s warrant vests in 240 tranches linked to $500 million increments of custom-product revenue [2].
The success of this partnership will ultimately be measured by whether these custom components can deliver the efficiency gains necessary to sustain Google’s AI infrastructure at scale. With the agreement extending through 2033, the deal underscores a shift toward deep, multi-year vertical integration between cloud giants and their silicon suppliers.
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AI-assisted synthesis by the TrendWatcher Editorial Desk · sourced from 3 outlets · Aug 21, 2026 · How we report
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