Pichai Says Google Sacrifices Cloud Revenue for Frontier AI
Alphabet CEO Sundar Pichai said Google is forgoing cloud revenue to reserve computing capacity for frontier AI research, in an interview with Big Technology. He called having enough compute for frontier work non-negotiable.
Pichai said current capacity reflects infrastructure decisions made in 2024 because data centers and custom computing systems require long lead times. Google now plans capacity two to three years ahead, while demand from AI coding tools and other agent based products continues to exceed earlier forecasts.
Pichai also said Gemini 4 Argon processed nearly 25 trillion tokens during its first 72 hours, about three times the volume recorded by Gemini 3 during the same period. He said Google is capacity constrained while serving the model.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Silicon Brief or Daily AI Brief.
Also, consider following us on social media:
More from Data Centers
Oct 20 ByteDance, Alibaba and Tencent Place $35 Billion in Nvidia GPU Orders Oct 20 Filings Link General Catalyst to Proposed $66 Billion Wyoming AI Data Center Oct 20 AWS Opens Bedrock Access to OpenAI GPT Models From Canada Oct 20 Zohran Mamdani Backs Broader New York Data Center Moratorium Oct 20 AMD and Intel Unify PyTorch Optimizations for x86 CPUsSilicon Brief
Weekly coverage of AI hardware developments including chips, GPUs, cloud platforms, and data center technology.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
Google Introduces Gemini 4 Argon for Coding and Cybersecurity
Cognizant and Google Cloud Form Gemini Group With 18,000 Engineers
BNP Paribas and Google Cloud Sign Five Year AI Partnership
Google Adds Unified AI Agent to Gemini for Businesses
Google Gives 200 European Scientists Access to AI Models
Daily AI Brief: the AI news that matters, in your inbox.