Raspberry Pi Pico 2: Arm-based Development Board Delivers Higher, More Secure Performance for Commercial Applications
Since the launch of the original Raspberry Pi in 2012, Arm and Raspberry Pi have shared a vision to make computing accessible for all and delivered critical solutions for the Internet of Things (IoT) developer community. Over the course of this long-term partnership, Raspberry Pi has sold over 60 million Arm-based units to date, lowering barriers to innovation so that anyone, anywhere – from hobbyists to academics to professional developers – can learn, experience and create new solutions. Our collaboration continues to go from strength to strength, with today’s launch of Raspberry Pi Pico 2 (RP2350) marking an exciting next step in this mission.
Armv8-M architecture delivers higher performance for more secure, commercial edge applications
Being the most pervasive architecture for embedded MCU connected devices, Arm has driven the IoT industry’s commercialization efforts for many years. Now, as the primary boot architecture for the new Pico 2, we’re excited to see the continued growth of Raspberry Pi’s product portfolio. Together, we continue to address the needs of students, enthusiasts and professional users, with low-cost, high-performance computing that builds on the success of nearly four million Pico boards that have shipped.
In the era of secure edge applications, the new Pico 2 development board provides a significant step change in performance and security from its predecessor. Featuring a dual-core Arm Cortex-M33, it’s designed for higher performance in constrained systems, with its reach extending into more commercial environments thanks to its unique features for industrial IoT deployments with demanding I/O requirements, cost-optimized embedded computing, among other applications.
- Arm TrustZone provides hardware-enforced isolation to protect security-critical resources, also enabling PSA Certification
- Digital signal processing (DSP) extensions support efficient execution of DSP algorithms, beneficial for signal processing applications such as audio, sensor data and communications systems
- The Floating-Point Unit (FPU) supports single precision floating point arithmetic, improving performance for mathematical computations
Projects developed for the Pico can be easily ported to Pico 2 and deliver even better performance thanks to Arm CMSIS libraries which leverage Cortex-M33 features.
And another cool thing? Pico 2 is making its debut at DEFCON Las Vegas, where attendees will find the chip integrated into their name badges.
Arm is the foundation for the next generation of Raspberry Pi innovation
At Arm we are not slowing down: We continue to invest in the proven and trusted Arm architecture, developer tools and software ecosystem that have enabled our success and leadership over the last 30+ years.
At a time when the number of edge devices and applications is only continuing to grow, Arm, together with partners like Raspberry Pi, help the IoT industry innovate faster and transition to higher-performing systems that can commercially scale. We’re looking forward to seeing the innovative new solutions that emerge on the Arm-based Pico 2 as we continue to work with the ecosystem to build the IoT on Arm.
Any re-use permitted for informational and non-commercial or personal use only.
Editorial Contact
Latest on Twitter
Are you ready to build native apps on Windows on Arm?
We've got the tools and resources you need to get started.
This is how you build enhanced user experiences.
Here's to 3+ years of SOAFEE and everything that's to come with http://SOAFEE.next. 🎉
With 120+ members and counting, we're proud to celebrate the collaborative efforts of the entire automotive ecosystem to bring software-defined, AI-enabled vehicles to life:…
Do you build @VulkanAPI apps? We’ve got exciting news for you!
🔜 Native support for Windows on Arm is coming.
🎬 See it in action:
Processing complex AI workloads on the device can be slow. 🦥
Arm KleidiAI is changing this, bringing best performance without additional optimization.
We show what's possible when it's integrated with @Google's MediaPipe & XNNPACK on Android.
Meet the next generation of optimized ML workloads.👇
⚡ 30-50% speedups for various ML libraries
💪 3.1x run time improvement with Photon
💰 Lower cost
Get this and more with Arm Neoverse-based @AWSCloud Graviton on the @databricks ML Runtime cluster.
Unlock Faster Machine Learning with Graviton | Databricks Blog
okt.to
AI is transforming the world of computing, from the edge to the cloud. 🚀
As Arm CMO Ami Badani explains on @theCUBE, this offers unique opportunities, but you have to have the right platform in place to maximize them.
That's where Arm comes in:
Ami Badani, ARM | AI Infrastructure Silicon Valley - Executive Series
Ami Badani, ARM, sits down with John Furrier & Dave Vellante, theCUBE.
okt.to
Reasons we ❤️ the Arm Cortex-M33 based Raspberry Pi Pico 2:
1️⃣ You can deploy more compute-intensive apps
2️⃣ It's faster, thanks to the floating point unit
3️⃣ It's more performant
Try it for yourself testing real-time ML audio noise suppression.
🔍 BTS of July's Amazon Prime Day, over 250K Arm-based AWS Graviton chips powered 5,800 distinct http://Amazon.com services - that's more than double the services in 2023.
By scaling #onArm, @awscloud had the compute capacity to ensure everything ran smoothly:…
⏰ Set your reminder!
Today at 1:05 pm PT, Arm CMO Ami Badani joins @theCUBE's AI Infrastructure Silicon Valley Executive Series to discuss the explosion of generative AI and innovation in chip technology.
Tune in here: https://okt.to/sF1y3c
We've been shortlisted for @Reuters Automotive D.R.I.V.E Honours 2024 for:
🌟 Innovation - for our tech accelerating AI-enabled software-defined vehicles
🌟 Empowering Women - Recognizing Dipti Vachani for her impact on the industry
Here's to our team that make it possible. 👏
AI is bringing many opportunities but there's also challenges with security.
Our report with @PSACertified is how you get ahead. Discover the insights you need to unlock the benefits of AI without compromising on security:
We're accelerating automotive software development cycles by enabling our partners to start innovating ahead of physical silicon availability.
Hear about our role in driving standardized, portable software and facilitating innovation in the SDV ecosystem: https://okt.to/LaZrtQ
MultiCub3r-X is a robot built #onArm.
It uses an image processing application on the Arm-based @Google Pixel 8 to calculate a sequence of moves, to solve the Rubik’s Cube in record time.
+ The @LEGO_Group mechanism turning the cubes is also based on Arm! See it in action. 👇
There are 4 new Google #Pixel9 phones - all built #onArm!
Each smartphone benefits from the performance and efficiency leadership of the Arm compute platform to enable next-generation AI capabilities.
Congrats to the team at @MadeByGoogle! 👏 #MadeByGoogle
👋Meet Raspberry Pi Pico 2
It features a dual-core Arm Cortex-M33 as the primary boot architecture to deliver higher performance and security for commercial applications.
Raspberry Pi CEO, Eben Upton, shares the features unique to Arm that make it great: https://okt.to/UiAVP9
Magic happens when you combine @GoogleCloud with the performance, efficiency, and flexibility of the Arm compute platform.
Get the details on how Google Cloud is driving custom silicon innovation with its Arm Neoverse-based Axion CPU. 👇
"Arm is already broadly adopted in the cloud, and it’s coming to the enterprise data center, no question."
In the AI era, Arm Neoverse offers the performance, efficiency, and flexibility that the modern data center needs. Here's why: via @MoorInsStrat
RESEARCH NOTE: Is Arm Neoverse the Datacenter’s Secret Weapon?
Nvidia is known as the GPU of choice for AI workloads. Its Hopper and Blackwell GPUs power virtually every ...
okt.to
🚀 Here's to another record breaking quarter!
Q1 FYE25 brought revenues of $939 million thanks in part to the rising adoption of Armv9 and Arm CSS, alongside our ecosystem of software and design partners committed to accelerating AI everywhere #onArm:
"If we don't start thinking about this power problem differently, we're never going to see this amazing technology that can truly change our lives"
Dipti Vachani speaks to @CNBCi on the importance of Arm to reduce power and pave the way to AI innovation.
Generative AI requires massive amounts of power and water, and the aging U.S. grid can't handle the...
Data centers are being built at a rapid pace to support generative AI, and concerns are mounting about whether w...
okt.to
At our Global Engineering Conference, our engineers came together to share the latest advancements in tech and discuss how we're building the future of computing together.
With a host of activities available, it offered a chance for discussion in a supportive environment.
🗓️ Join us on Wednesday July 31 for our next financial results conference call.
After market close, we'll report our earnings results for the first quarter of fiscal year 2025, followed by a conference call to review our results and business outlook: https://okt.to/koqGT0
The "Write Once, Deploy Everywhere" approach to code is key to seamless deployment for developers.
Through expert talks and demos @WeAreDevs, we demonstrated how this is a game-changer for building and deploying next generation apps at scale.
Thanks to everyone who joined us!🙌
With the escalating need for power-efficient systems, @FujitsuFNC's turned to Arm to build the FUJITSU-MONAKA CPU - a processor designed to help achieve energy savings of 40% in Japanese data centers by 2030.
+ That's without compromising AI innovation: https://okt.to/WM0F3A
Arm KleidiAI brings 30% performance improvements to @Google AI Edge's MediaPipe and XNNPACK running the Gemma 2B LLM. 💪
This is the first integration of many, as we enable more LLMs to run as effectively and efficiently as possible on Arm mobile CPUs: https://okt.to/qLW8He
