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
Nov 14 Telus pulls out of two Vancouver AI data centre projects with Westbank Nov 14 Petition to reinstate Jensen Huang as Nvidia CEO passes 115,000 signatures, with Elon Musk among signers Nov 14 Asian governments respond to Jensen Huang's exit from Nvidia Nov 14 Malaysia plans law making data centres disclose AI chip imports and power use to curb smuggling Nov 14 More than 13,000 object to Chapelcross plan for world's largest AI data centre campusSilicon 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
AMD revenue rises 45% to $13.4 billion, forecasts $17 billion quarter
ASM Lifts 2027 Outlook Above €5.7 Billion on AI Chip Demand
Samsung quarterly profit tops KRW 100 trillion on AI memory demand
ECARX and Arm Plan AI Computing Platforms for Vehicles
Lam Research Posts Record $8.22 Billion Revenue as AI Chip Demand Rises
Daily AI Brief: the AI news that matters, in your inbox.