Arm Software Developers

On-device AI shouldn’t mean slower performance or complex optimization. With @GoogleAI Edge + Arm SME2, Stable Audio runs fully on-device — with 2x faster audio generation and 4x lower memory, no code changes required.   Start experimenting now using Google AI Edge tools and KleidiAI-accelerated LiteRT: okt.to/px9J4L

Join us for a developer meetup with @nvidia at our San Jose office on May 19 for an evening focused on AI compute, optimization and production-ready AI applications. 👨‍💻 Hear from Arm and NVIDIA experts on AI workloads, latency, quantization, frameworks, and performance optimization, plus live demos, networking, and a raffle with prizes for attendees. okt.to/frAWRi

RAG pipelines are only as strong as the infrastructure behind them. See how Arm Performix helps optimize AI-driven retrieval and generation on Arm Neoverse platforms, improving BLAS performance, throughput, and efficiency across modern cloud workloads. 💡 okt.to/kbnWd5

Image classification pipelines don’t always need bigger models to improve. 💡 Vociply used Arm Perfomix on AWS Graviton to get 40% faster performance and reduce cost - demonstrating how tuning on Arm can improve both speed and efficiency. okt.to/jzn7Qe

What developers can do better with Arm? Build, create, optimize, scale from model to edge - and so.much.more. Thank you to everyone who joined us at our first ever Arm Create, we can't wait to continue building the future, together, on Arm! 🎉

Looking for a deeper dive? We've got you covered with this look at how you can use the toolkit in practice - including a simple example and walkthrough. 👀➡️: developer.arm.com/community/arm-…

Arm Performix - a new class of performance tooling built for agentic AI systems- is here! 🎉 Surfacing system-wide bottlenecks and turning low-level hardware data into actionable insights across agentic AI workloads: okt.to/N7e06l

We had such a great time connecting with all of you last week at #GoogleCloudNext and we can't wait to continue building the next generation of Google Cloud, on Arm, together​. 🤝

What does it actually take to build intelligent systems that work reliably in the real world? Join Arm experts and Ambassadors for a practical discussion on edge AI, embedded system design, and deploying real-time intelligence on on 28 April at 16:00 GMT. From autonomous driving to deep learning at the edge, this session focuses on what engineers need to build production-ready systems today. okt.to/QXAidn

Agentic AI at scale needs more than just models. With Arm-based Axion CPUs working alongside accelerators like TPUs, GKE Agent Sandbox is built for real-world deployment.💪

What does it take to get Hugging Face projects running smoothly on Arm64? We teamed up with Docker to analyze real repos and find out. From dependency gaps to build behavior, this is a clear look at preparing AI workloads for Arm-based devices from cloud to edge. okt.to/CKLhYA

We're headed to Google Cloud Next! We can't wait to connect with the developers driving the shift to Arm based infrastructure. For those attending, be sure to visit the Arm booth for demos and conversations about the future of cloud native and AI workloads running on Google Axion, built on Arm.

Join us in San Francisco for Arm Create, a hands-on event for developers working across AI, ML, and compute platforms, taking place alongside the AI Developer Conference by @DeepLearningAI.👨‍💻 Explore how AI models run across cloud and edge, build experiences in minutes, and connect with Arm engineers and the wider developer community, and enjoy drinks and bites throughout the evening. okt.to/FX7yxj

What does agentic AI look like in production? For NauWork it's semiconductor hiring, using AI-driven workflows to match talent at scale. Combining AI agents, Snowflake, and Arm-based compute, it’s a strong example of AI-native systems for real-world use. 💪okt.to/5pUTWk

Migrating @huggingface Spaces to Arm64 doesn’t have to be manual. Join our live Code-Along with @Docker on April 16 to see how MCP servers and GitHub Copilot can help you assess compatibility, fix architecture-specific issues, and migrate a real model to Arm64. okt.to/S61yRt

Mobile performance isn’t just about peak FPS, it’s about delivering a stable experience across thousands of devices. Following Arm’s Developer Summit at #GDC2026, Epic Games shared how @UnrealEngine developers are approaching this challenge with continuous optimization, automated testing, and deeper profiling. Tools like Arm Streamline help bring hardware-level insight into that process, making it easier to spot bottlenecks and optimize for real-world conditions. Read more: okt.to/DC01M5

Keil Studio now runs in @github Codespaces with Arm production-grade, CMSIS-aware workflows to a fully managed, containerized cloud workspace running in your browser. Cloud‑ready embedded development that is standardized, portable, and built for teams! 💪 okt.to/5fnguE

On-device AI is changing what is possible. With @Google’s Gemma 4, developers can run more capable models directly in Android apps. Armv9, SME2, and KleidiAI enable optimized performance and acceleration. okt.to/oUKuQX

Join us in San Francisco for an AI meetup on coding agents and MCP, hosted by @aicampai, bringing the community together for deep dives into real-world AI workflows. Hear from @AvinZarlez, Staff SW Engineer - Developer Evangelist on offline agentic porting with Arm MCP Server, helping teams modernize and migrate code securely. If you're building with AI, GenAI, or LLM-powered agents, this is one to check out. okt.to/9Qyxp3

Arm 🤝 @github 🤝 Builders Help us build the future together by sharing your thoughts and experiences with native Arm support in GitHub's latest survey. ➡️ okt.to/N3opXc