TPU

Broadcom announced a $10 billion order from AI lab Anthropic for custom TPU Ironwood racks, with an additional $11 billion commitment, marking its fourth XPU customer. A fifth undisclosed client placed a $1 billion order. The deal ties into Anthropic’s multi‑year cloud partnership with Google, granting access to up to one million TPUs. Broadcom’s rack‑level AI accelerators aim to rival Nvidia’s GPUs, potentially boosting its custom‑chip revenue and expanding its foothold in the high‑performance AI market.

summary.Alphabet’s Google has surged ahead of OpenAI after releasing Gemini 3, a large‑language model that matches or surpasses ChatGPT, and unveiling its seventh‑gen “Ironwood” TPU. Both Google and silicon partner Broadcom posted strong quarterly gains, while OpenAI‑backed Nvidia and Microsoft lagged. Analysts note a pricing premium for Google’s AI assets for the first time in a decade. The move raises questions about TPU third‑party revenue, Nvidia’s GPU moat, and whether Google can sustain AI‑driven profit growth beyond advertising.

.Broadcom’s custom ASICs, used by Google to train Gemini 3 on Broadcom‑designed TPUs, are gaining traction, but Nvidia CEO Jensen Huang argues the company’s general‑purpose GPUs remain more versatile and pose no material threat. Nvidia’s $2 billion stake in Synopsys aims to create AI‑focused design tools across multiple industries. Analysts have raised price targets for both Broadcom and Nvidia, citing strong demand for ASIC efficiency and GPU flexibility. Diversified exposure to Broadcom, Nvidia and Synopsys is recommended to balance the evolving AI‑chip market.

Google’s AI resurgence centers on the Gemini 3 large‑language model and the Ironwood TPU, touted for higher efficiency and data‑intensive scaling. The rollout sparked a 5% share jump, a $4.3 billion Berkshire stake, and a near‑70% YTD gain, outpacing rivals. Analysts credit Google’s integrated stack—hardware, cloud, and vast YouTube data—as a competitive edge, though they warn the advantage is narrow amid fierce rivals like OpenAI’s GPT‑5, Anthropic’s Opus 4.5 and Nvidia’s GPU dominance. Sustained R&D spending and rapid capacity scaling remain crucial for lasting leadership.

Google has launched its seventh-generation Tensor Processing Unit (TPU), Ironwood, now generally available to cloud customers. This custom-designed AI accelerator aims to rival Nvidia GPUs by offering specialized, high-performance computing power for AI workloads like training LLMs and real-time inference. Ironwood boasts interconnectivity of up to 9,216 TPUs in a single pod. AI startup Anthropic has pledged to utilize up to 1 million Ironwood TPUs. The move underscores Google’s commitment to AI infrastructure amid growing cloud revenue and increased capital expenditure.

OpenAI is diversifying its AI infrastructure by utilizing Google’s TPUs alongside NVIDIA GPUs, as part of its drive for computational power, including for ChatGPT. This move, motivated by cost management and infrastructure diversification, could boost the profile of Google’s TPUs as an alternative to NVIDIA’s GPUs. The partnership, however, shows competitive dynamics, with Google limiting access to its most powerful TPUs.