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Open automotive software is shifting into its next gear. 🙌
SOAFEE has grown from 13 founding members to 150+ organizations since 2021.
As it joins @corecollectivee, Arm remains an active contributor and governing member, helping advance automotive and physical AI.
Congratulations to @NVIDIA on a major Vera Rubin milestone. 👏
Backed by 300 global partners and built around the Arm-based Vera CPU, the platform shows how compute designed for modern AI infrastructure can move beyond the limits of legacy, off-the-shelf CPUs.
🚀 The NVIDIA Vera Rubin platform is here, with 10x better performance per watt.
➡️ The NVIDIA ecosystem, including @CoreWeave, @GoogleCloud, @Microsoft, and @Oracle Cloud, are standing up NVIDIA Vera Rubin NVL72 to deliver the lowest token cost for the agentic era.
➡️ NVIDIA
For Jason Child, joining Arm was a “once-in-a-lifetime opportunity.”
Jason joins the Secrets of Rockstar CFOs podcast by @stratcfo360 to discuss his journey, going public and our extension into silicon.
Listen to the full conversation on Spotify: https://okt.to/e9NbfM
Congratulations to @XPENG_Global on the launch of the all-new #XPENGL03. 👏
The next-generation AI SUV coupe brings new intelligent driving and connected in-car experiences to XPENG’s global portfolio.
We’re excited to be part of the ecosystem enabling the next generation of
XPENG evolves into a global Physical AI company.
Meet the all-new XPENG L03.
Featuring the European debut of XPENG NGP.
In Europe, For Europe.
$XPEV
In an ecosystem as broad as ours, there's no single path to innovation.
We understand that different workloads, business goals, and stages of development call for different approaches - which is why we're continuing to expand the ways our partners can build on Arm. 💡
Congratulations are in order for Arm CEO Rene Haas on being named to the Observer's 2026 AI Power Index.
As AI demand continues to grow, so does the need for compute platforms and infrastructure that enable AI at scale.
This recognition highlights the leaders shaping the
Organizations need the flexibility to build, deploy, and scale AI in the way that works best for them. That means supporting different business goals, different deployment models, and different levels of integration.
A strong compute ecosystem should enable organizations to: