Observed Signal · Apr 9, 2026 · Partnership · Source: techcrunch · Impact: 4/5 · Sentiment: Positive
Google and Intel Expand AI Infrastructure Partnership
Google and Intel announced an expanded multiyear partnership for Google Cloud to continue using Intel AI infrastructure and to deepen joint chip development. Google Cloud will use Intel Xeon processors — including Intel’s newest Xeon 6 chips — for AI, cloud and inference workloads. The companies will broaden co‑development of custom infrastructure processing units (IPUs), focusing on ASIC‑based IPUs; the chip collaboration originally began in 2021. Intel declined to disclose pricing for the arrangement. The expansion comes amid a tight global CPU supply environment and industry shifts that emphasize CPUs and IPUs for running and scaling AI inference workloads alongside GPUs used for model training.
Expanded partnership between Google Cloud and Intel affects AI infrastructure supply and architecture (CPU/IPU availability and co‑developed ASICs), which influences cloud providers, data center hardware choices, and the broader AI inference stack during a global CPU shortage.
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Key Takeaways & Evidence Grounding
- Google and Intel announced an expanded multiyear partnership for Google Cloud to continue using Intel AI infrastructure.
- Google Cloud will use Intel Xeon processors, including Intel’s latest Xeon 6 chips, for AI, cloud and inference tasks.
- The companies will expand co‑development of custom infrastructure processing units (IPUs), focusing on custom ASIC‑based IPUs.
- The chip development partnership between Google and Intel began in 2021.
- Intel declined to share pricing details for the expanded deal.
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Google Expands Intel Partnership for AI Chips
Google has committed to using multiple generations of Intel CPUs, including the new Xeon 6 processors, to run AI training and inference workloads in its data centers, expanding an existing partnership with Intel. The companies reiterated collaboration on a programmable infrastructure processing unit (IPU) they have worked on since 2022. No financial terms or implementation timeline were disclosed. Intel manufactures its latest Xeon on its 18A process at a newly opened Arizona fab; recent corporate moves cited include a 10% Intel stake sale to the U.S. government and a $5 billion Nvidia investment. The announcement underscores a broader shift in the AI compute landscape where CPUs and programmable accelerators are playing a larger role alongside GPUs. Google also continues development of its own accelerators (TPU) and an Arm-based CPU, Axion.
Google launches separate TPUs for training and inference
Google Cloud announced its eighth-generation custom Tensor Processing Units (TPUs), splitting the family into two purpose-built chips: the TPU 8t for model training and the TPU 8i for inference. Google claims up to ~2.8–3x faster training versus prior generation Ironwood at comparable price, about 80% better performance per dollar on inference workloads, and the ability to cluster more than one million TPUs. Google said the TPUs will supplement — not immediately replace — Nvidia GPU offerings in its cloud, and that Nvidia’s Vera Rubin GPU will be available in Google Cloud later this year. Google also disclosed a collaboration with Nvidia to improve software-based networking (Falcon) for more efficient Nvidia system performance; Falcon was open sourced in 2023 under the Open Compute Project. The move positions Google’s cloud hardware as an alternative compute path for large AI workloads while maintaining interoperability with Nvidia-based stacks.
Broadcom Expands AI Chip Deals with Google, Anthropic
Broadcom said it will produce future versions of AI chips for Google and signed an expanded agreement with Anthropic that gives the startup access to roughly 3.5 gigawatts of compute capacity using Google’s tensor processing units (TPUs). The deals were disclosed publicly and helped Broadcom shares jump more than 6% intraday. Analysts at Mizuho and Citi maintained buy ratings, with Mizuho saying the tighter TPU partnership strengthens Broadcom’s position. CEO Hock Tan has projected AI chip revenue in 2027 “significantly in excess of $100 billion.” Earlier estimates from filings and analyst commentary suggested Broadcom could capture tens of billions in AI-related revenue from customers like Anthropic as model builders continue to source diverse accelerator capacity.
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