Arm

Arm’s foundational technology is defining the future of computing. A future built by the greatest technology ecosystem in the world. A future built on Arm.

[Arm Software Developers @ArmSoftwareDev]

From hands-on AI demos and technical deep dives to great conversations with the developer community, we had an incredible time at Arm Create earlier this week.

Thank you to everyone who joined us, and to our partners, for making it a great day of learning, building, and connecting with the community building for the future of AI.  

Until next time! 👋

[Arm @Arm]

AI demand isn't slowing down - but the ability to supply enough compute is becoming a critical constraint.

Arm CMO Ami Badani joined @traderTVLIVE to discuss why power-efficient compute is essential to unlocking AI's potential across industries, and the opportunity ahead for Arm.

[Arm @Arm]

Scaling physical AI takes more than powerful hardware.

Hear from our Dermot O’Driscoll on @RoadtoAutonomy as he discusses how the Arm compute platform and ecosystem collaboration are helping accelerate the adoption of robotics and autonomous vehicles. 👇
https://t.co/A7YRq2dSjl

[The Road to Autonomy® @RoadToAutonomy]

The Physical AI market is growing, and @Arm's low power architecture is powering it.

Dermot O'Driscoll, Vice President, Go-To-Market for Physical AI at Arm, explains how a common architecture enables companies to scale Physical AI on The Road to Autonomy with @gbrulte.

$ARM

[Arm @Arm]

🎙️Tune in today from 10:30-10:45 a.m. PT as Ami Badani joins @traderTVLIVE to discuss Arm’s role in the AI ecosystem, the growing demand for power-efficient compute, and what’s next for AI.

🔴Watch live: https://t.co/M5yF0WU7Bg

[Arm @Arm]

@AstonMartinF1 🙌

[Arm @Arm]

Agile Robots SE has unveiled Agile ONE SN, a new humanoid reference platform designed to help researchers and developers create, train and validate robot capabilities. 

Powered by NVIDIA Jetson Thor, built on Arm Neoverse V3AE CPUs, Agile ONE SN delivers onboard compute for real-time control and reasoning, while bringing simulation, training and deployment workflows together to help reduce setup time from weeks to days.

Congrats to Agile Robots and @nvidia on the announcement! 👏https://t.co/6tBhRHlYWM

[Arm @Arm]

@RoadToAutonomy @gbrulte Thanks for having us! 🙌

[Arm @Arm]

From six months to as little as 14 days. That's the potential leap in AI factory deployment speed with NVIDIA's new DSX POD.

Powered by NVIDIA Vera Rubin infrastructure, built on Arm-based Vera CPUs, DSX POD is helping make the next generation of AI infrastructure faster to deploy and easier to scale.

Congrats, NVIDIA!

[NVIDIA @nvidia]

AI builders need computing capacity they can put to work sooner.

We introduced DSX POD at NVIDIA GTC Berlin: AI factories integrated and tested before delivery, enabling deployment at prepared sites in as little as 14 days.

[Arm @Arm]

Arm really is everywhere 👀

From Neoverse to the AGI CPU, the Open Compute Project Global Summit was a reminder of how we're showing up across our partner ecosystem.

[Arm @Arm]

As AI agents become more autonomous, security needs to be built into the infrastructure powering them.

NVIDIA's new OpenShell Reference Architecture helps make this possible, with Arm-based Vera CPUs powering agent execution and BlueField DPUs supporting isolation and policy enforcement.

[NVIDIA @nvidia]

Jensen introduces the OpenShell Reference Architecture to help businesses set boundaries for AI agents and stop them when they step outside those boundaries.

Securing agents around the world. 🔒

[Arm @Arm]

What does it take to accurately benchmark CPU performance for agentic AI?

Our white paper, developed in collaboration with @Meta, @fujitsulabs, and @OpenAI, explores a framework for measuring CPU performance across representative agentic AI workloads and the broader software stack.

🔗: https://t.co/r9U3B5g8VO

[Arm @Arm]

F1 pit stops 🤝 Safer patient handovers. Who would've thought?

@GreatOrmondSt took inspiration from pit crews to improve patient handovers.

As Arm technology helps @AstonMartinF1 deliver their fastest pit stops, it gets us thinking: where else could advances in physical AI make a life-changing difference? https://t.co/LVxKNdZGUn

[Arm @Arm]

@GradiumAI @TobiasMcBride @RonanTech Congrats, @GradiumAI! This is a big step forward for natural, on-device speech, with Arm KleidiAI accelerating performance on Arm CPUs. 💪

[Arm @Arm]

From server-level performance to rack-level impact.

Independent testing from @Signal_65 highlights how Arm AGI CPU performs across key agentic AI workloads, demonstrating the importance of CPU performance as AI infrastructure scales.

Take a closer look: https://t.co/TFCEPsHz1W

[Arm @Arm]

Agentic AI is redefining what CPUs need to deliver.

@modal's early benchmarks show @NVIDIA Vera, built on Arm, delivering up to 2x the throughput of comparable x86 systems under heavy concurrency.

It's a powerful validation of Arm's role in scaling the next generation of AI infrastructure. 💪
https://t.co/BBMFJi5fWg

[Arm @Arm]

Goodbye to the #OCPGlobalSummit2026 👋

One thing was clear throughout the week: building infrastructure for the agentic AI era requires innovation across the entire system, from silicon to rack.

It was great to see the OCP community come together to advance this vision, with Arm technology playing a growing role in enabling the next generation of open AI infrastructure.

https://t.co/pe0WKq2aOs

[Arm Software Developers @ArmSoftwareDev]

We're headed to #PyTorchCon (Oct 20-21) and AGNTCon + MCPCon (Oct 22-23) in San Jose! 👋

Explore PyTorch, ExecuTorch, Arm Device Connect, and AI agents interacting with real-world devices through technical sessions and demos.

📍 Booth P3 at both events | https://t.co/R9AKuc0Sj2

See our agenda 👇

[Arm @Arm]

Different companies. Different terminology. One increasingly complex robotics ecosystem.

A Robotics Capability Framework creates a shared language to help reduce fragmentation, simplify integration and accelerate adoption.

Hear from @AnaxiLabs, @McKinsey and @Lenovo on why industry alignment matters. https://t.co/PzHEOtxX7a