Google in Talks to Rent AI Servers from CoreWeave
Google is reportedly in advanced discussions to rent Nvidia Blackwell chips from CoreWeave, according to The Information. The move highlights Google's efforts to secure additional AI processing power amid increasing demand for Nvidia's chips.
The talks with CoreWeave, a cloud provider known for its AI-focused data centers, underscore the challenges major Nvidia customers face in acquiring sufficient chip supplies. Google's interest in CoreWeave's services also reflects the latter's ability to quickly establish AI-centric infrastructure, attracting significant business from large cloud providers.
While specific details of the agreement remain undisclosed, it is noted that the potential deal is smaller than other major contracts CoreWeave has secured, such as Microsoft's $10 billion commitment. Google has also reached out to other GPU providers to further expand its AI capabilities.
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 2 PaleBlueDot AI Raises $200 Million at $3.2 Billion Valuation Oct 2 SQC and Schneider Electric Get A$3.6 Million for Quantum Energy Forecasting Oct 2 Google Sends TPU Into Orbit for Project Suncatcher Test Oct 1 DeepSeek and Huawei Build Tools for Ascend AI Chips Oct 1 Wärtsilä, Schneider Electric and Stanley Consultants Coordinate Data Center Power DeliverySilicon 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
General Compute Signs Cerebras Inference Deal
Ohio State and Google Partner on AI Research Hub
Morgan State and Google Public Sector Build AI Research Campus
Cerebras to Supply 100 Megawatts of AI Systems to Gimlet Labs
Google Cloud and Accenture Form Gemini Unit With Up to 1,000 Engineers
Daily AI Brief: the AI news that matters, in your inbox.