Arm Continues to Accelerate IoT Software Development with New Partnerships
By Paul Williamson, SVP and GM, IoT Line of Business, Arm
News highlights:
- Arm development tools integrated into GitHub Actions enabling faster time to market for IoT and embedded developers
- Queexo and Nota AI integrate Arm Virtual Hardware for better accessibility and ease-of-deployment of ML workloads
A year ago we unveiled Arm Virtual Hardware, a cloud-based offering that delivers virtual models of Arm subsystems and third-party development boards to allow software developers, OEMs and service providers to begin software development earlier than ever before. Arm Virtual Hardware removes the need to wait for physical silicon, enabling software and hardware co-design without the complexity of building or maintaining complex board farms. Embedded systems developers have embraced this approach, which gives them access to more modern development practices such as MLOps and DevOps flows at scale. Earlier this year we went further by adding models of third party development kits to this offering, allowing developers to further accelerate the development of innovative IoT products to address a huge and diverse market.
We continue to receive extremely positive feedback from our developer community, who are keen to see even more choice and support for streamlining workflows in their chosen development environments. Arm is committed to ensuring developers have the tools they need in the places they are innovating, which is why I’m really pleased to announce some fantastic new partnerships that offer native integrations of our cloud-based development tools, including Arm Virtual Hardware, to accelerate developer workflows.
Arm Virtual Hardware integration with GitHub Actions
With over 90 million developers and counting, GitHub is at the center of the evolution of modern software development. On the hardware side, Arm’s computing footprint scales across multiple markets including IoT and embedded, with 230 billion Arm-based chips shipped to date. We’re thrilled to share that GitHub and Arm are now partnering to further accelerate the developer experience for embedded Arm devices with the integration of Arm development tools into GitHub Actions, a CI/CD platform that allows developers to automate their build, test, and deployment pipeline. The native availability of Arm tools, including our cross-compiler and Arm Virtual Hardware, will allow IoT and embedded developers to move faster than ever and get the best out of Arm-based silicon.
Developers can now use the Arm compiler and cross-compiler natively within GitHub Actions, as well as access Arm Virtual Hardware models of Corstone-based compute systems and Arm Cortex-M processors via self-hosted and GitHub-hosted runners. We’re excited to bring the accelerated development and CI workflows Arm Virtual Hardware can deliver to GitHub – a platform we know developers love. If you are at GitHub Universe on November 9-10, you can check out a preview demonstration of the new integration – or you can get started today with this excellent guide.
Cloud-based AutoML leaders continue to embrace Arm Virtual Hardware
We want to continue to make the advantages of Arm Virtual Hardware available wherever developers do their work, which is why we’re supporting integrations of Arm Virtual Hardware into the offerings of leading cloud-based development workflow providers. Today, I’m also pleased to share two significant milestones in the AI space, with both Queexo and Nota AI integrating Arm Virtual Hardware, which will be available as a development target on their platforms later this year. These AutoML platforms are changing the paradigm for the accessibility and ease-of-deployment of ML workloads – a natural fit with Arm’s goals for Arm Virtual Hardware. We’re proud to work with these partners to empower developers to start sooner and work faster in bringing new innovations to market to address the huge opportunities in IoT.
These are just a few recent highlights that illustrate the progress we’re making since we radically simplified and accelerated software design for IoT and embedded devices with the introduction of Arm Virtual Hardware. Multiple cloud-based AI and IoT toolchains have already integrated Arm Virtual Hardware directly into their offerings, meaning developers can start sooner, test at scale, and bring their innovation to market faster. Our ongoing investment and growing number of partnerships in the IoT and embedded market will continue to empower developers to innovate for a future built on Arm.
Any re-use permitted for informational and non-commercial or personal use only.
Media Contacts
Latest on Twitter
Congratulations to Tamika Curry Smith, our Chief DEI Officer who has been chosen as one of @SavoyNetwork's Most Influential Executives in Corporate America for 2024. 👏
The honor recognizes Tamika's commitment to community, leadership, and success: https://okt.to/2NvDOZ
This #EarthDay, we're celebrating our collaboration with @UNICEF, to unlock the life-changing potential of technology in Malawi.💧
Our investment has helped UNICEF install two water supply systems, helping provide 11,000 people with access to safe water and sanitation services.
ISA parity is accelerating silicon and software deployment in automotive! 🚗💨
👇 At #ew24 we showcased what this looks like in practice via virtual platforms with our Neoverse-based cloud instances and new Arm AE IP, which brings almost 100% ISA parity. https://okt.to/cjVaFN
The future of automotive is here. 🚀
Hear from Dipti Vachani on @IBDinvestors as she shares details on the game-changing performance and functional safety features of our new Armv9-based AE processors and server-class Neoverse technology: https://okt.to/WVtw58
AI is expected to increase data center power consumption 3️⃣x by 2030.
To offset this, hyperscalers like Amazon and Google turn to Arm Neoverse to reduce power without compromising performance.
That's why the future of AI is built #onArm. https://okt.to/LPVFWd
We're working with our partners @Simprints, @Gavi and @_GHSofficial to enable healthcare equity in Ghana.
Built #onArm, Simprints technology is enabling vaccine equity by making it easier to verify vaccine delivery by individual: https://okt.to/MIcgxu
If Arm technology is in there, then the future will be too.
Our energy-efficient compute platforms are foundational to the world's technology and AI computing, shaping how we work, play and connect.
That's why the future is built #onArm. https://okt.to/M9wqc8
Here's to a fantastic week at Embedded World! 🎉
From lightning talks and speaker sessions to demos of our latest automotive and IoT technologies, we brought our vast ecosystem together to showcase what's possible when you build #onArm.
Thank you to everyone that joined us. 👏
🚗 Software-defined vehicles (SDVs) are the future of automotive and they're being built #onArm.
Robert Day joins @Sonatus and @MotorTrend on the latest podcast to talk all things SDVs and where the industry is headed.
🔊👇 Listen below.
🏆 And the winner of the Embedded Awards 2024 goes to… @Ambiq_AI's Apollo510 MCU!
This winning tech opens the door to new local AI opportunities on billions of devices.
Listen in as the team talk us through their exceptionally efficient Arm-based SoCs at #EmbeddedWorld.
David Maidment recently shared his thoughts on the future of edge computing at #EmbeddedWorld!
Missed the talk? Catch up on his insights into the evolution of edge computing across billions of diverse connected devices to build a secure AI-enabled future: https://okt.to/EtfSRN
AI is everywhere at this year's #EmbeddedWorld.
🚘 With the demand for more autonomy, increasingly advanced user experiences and the trend toward electrification Dennis Laudick shares why AI will remain crucial to drive innovation in the software-defined vehicle.
#ew24
Two identical demos. One different NPU.
Our new Ethos-U85 NPU is optimized for transformer networks to deliver the performance needed for edge AI use cases - including high performance voice and vision experiences.
This makes it perfect for AI applications like Gen AI. #ew24
We're ready for the final day of #EmbeddedWorld! 🚀
It's been a fantastic show so far showcasing our power-efficient compute platforms that are fueling the future of edge AI.
Reply with an emoji to let us know if you'll be visiting us on the show floor. 👋
#ew24
What's trending at #EmbeddedWorld?
AI, AI and more AI. 🔥
@pnwilliamson shares where you might find edge AI in action from our ecosystem partners building the future #onArm. #ew24
At the Arm booth at #EmbeddedWorld you'll find:
✅ Partner demos from the likes of @NXP, @Ambiq_AI and @_Elektrobit
✅ Partner Lightning Talks from @Microsoft, @EdgeImpulse and more
✅ Our latest IoT and Automotive tech
#ew24
🚀 We're taking edge AI innovation to the next level with the new Arm Ethos-U85 NPU and Corstone-320 IoT Reference Design Platform.
@pnwilliamson shares how these new technologies are transforming future voice, audio and vision applications live from #EmbeddedWorld. #ew24
Get to know LaunchX from NetsPresso by @nota_ai, on show at #EmbeddedWorld. 👇
Designed to help you easily convert and benchmark AI models, it supports a ton of Arm-based devices from our partners including Arduino, NXP, Renesas, Raspberry Pi and NVIDIA. #ew24
🇺🇸🇯🇵 We're proud to support new AI research partnerships between universities in the US and Japan.
Through close collaboration between business, academia and government we can continue to advance AI innovation to transform industries and improve lives. https://okt.to/9JbahF
📢 Custom Arm-based silicon from @GoogleCloud is here!
Axion, built on Armv9 Neoverse V2, will bring performance & energy efficiency gains to AI inferencing & general-purpose workloads, like web and app servers.
Congrats to the team! 👏 https://okt.to/xS4cBN #GoogleCloudNext
It's time for #EmbeddedWorld! 🙌
We're in Nuremberg this week showing you how to build your AI-accelerated future #onArm. 🎉
Can’t join us in person? Keep up to date on social media for live updates from the show! #ew24
🆕 Get ready to accelerate edge AI with the new Arm Ethos-U85 NPU and Corstone-320 IoT Reference Design Platform. ⚡
With performance and efficiency uplifts, developers can now deliver greater AI compute in smaller, more cost-sensitive devices: https://okt.to/cJPTCQ
When it comes to AI and ML at the edge, challenges like hardware fragmentation and performance optimization stand in the way of widespread adoption.
@pnwilliamson shares how developers can navigate this, with an invitation to join us at Embedded World: https://okt.to/tpsPTd
With the AI boom fueling demand for compute, our CEO Rene Haas speaks to @jchatterleyCNN on the importance of ecosystem collaboration to unlock unique capabilities we've not seen before.
Listen to the @CNN podcast at 28:38 for the full interview 👉 https://okt.to/mcH1tF
