Arm Achieves Record Quarterly Revenue of Over $1 Billion
Arm has reported a milestone achievement with its quarterly revenue surpassing $1 billion for the first time in the company's history, announced in a press release. The company's fiscal year ending March 31, 2025, saw total revenues exceed $4 billion, with royalty revenues reaching $2 billion.
The record-breaking quarter was fueled by significant deals and licenses, particularly in the deployment of Armv9 CPUs and Compute Subsystems (CSS) in smartphones and data centers. Arm's CSS has seen increased demand, becoming a preferred choice for future chip designs, including a new license for automotive applications with a leading global EV manufacturer.
Arm's Neoverse platform is playing a crucial role in AI data centers, with NVIDIA's Armv9-based Grace Blackwell superchip now in full production. Additionally, Arm's technology is being utilized in next-generation AI-defined vehicles through collaborations with companies like GM and NVIDIA.
The company also highlighted the expansion of Arm-based data center chips by tech giants Google and Microsoft, with Google's Axion chip now available in multiple regions and Microsoft's Cobalt 100 chips supporting a wide range of software workloads. Arm continues to invest in its developer ecosystem, introducing new tools and partnerships to enhance AI performance across its platform.
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 16 Hitachi Energy and Ansaldo Energia Partner on Data Center Power Systems Oct 16 Clivet Unveils Magnetic Bearing Compressor for AI Data Center Cooling Oct 15 Rising rates strain AI data center fundraising Oct 15 Ukrainian Drones Hit Sberbank Data Center Planned for Supercomputer Oct 15 Brightray Signs Letter of Intent for 10 MW Indiana AI Data CenterSilicon 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
PATEO and Arm Partner on Automotive Physical AI
ASML Reports Record €11.7 Billion Sales as AI Demand Strains Supply
Armadin Raises $255.5 Million at $2.5 Billion Valuation
AI Chip Market Forecast to Reach $677.59 Billion by 2035
OpenAI Annualized Recurring Revenue Nears $70 Billion
Daily AI Brief: the AI news that matters, in your inbox.