Analog Devices, Inc. (ADI) released CodeFusion Studio 2.0 on 3 November – a significant upgrade to its open source embedded development platform. Designed to simplify and accelerate development of AI-enabled embedded systems, the tool introduces advanced hardware abstraction, seamless AI integration and powerful automation tools, facilitating the journey from concept to deployment across the company’s diverse families of processors and microcontrollers.
The studio supports complete AI workflows, enabling developers to bring their own models and deploy them efficiently across ADI’s processors and microcontrollers, from low-power edge devices to high-performance digital signal processors. The latest platform, based on Microsoft’s Visual Studio Code, features a built-in model compatibility checker, performance profiling tools and optimisation capabilities designed to ensure robust deployment and an accelerated time-to-market.
The updated CodeFusion Studio System Planner now supports multi-core applications and expanded device compatibility, while unified configuration tools reduce complexity across ADI’s hardware ecosystem. Developers benefit from integrated debugging capabilities, including Core Dump Analysis and GDB (GNU debugger) support, making troubleshooting faster and more intuitive.
A new Zephyr-based modular framework for runtime AI/ML profiling and layer-by-layer analysis enhances the open source foundation, eliminating toolchain fragmentation and reducing complexity.
CodeFusion Studio 2.0 is the latest milestone in ADI’s open-source embedded development platform, embodying its commitment to delivering developer-first tools that simplify complexity and accelerate innovation. As ADI expands its digital roadmap, future releases will continue to push the boundaries of embedded intelligence, bringing deeper hardware-software integration, expanded runtime environments and new capabilities tailored to evolving developer needs as they experiment with physical AI.
“Companies that deliver physically aware AI solutions are poised to transform industries and create new, industry-leading opportunities. That’s why we’re creating an ecosystem that enables developers to optimize, deploy and evaluate AI models seamlessly on ADI hardware, even without physical access to a board,” said Paul Golding, VP of Edge AI and Robotics at ADI. “CodeFusion Studio 2.0 is just one step we’re taking to deliver Physical Intelligence to our customers, ultimately enabling them to create systems that perceive, reason and act locally, all within the constraints of real-world physics.”
“The next era of embedded intelligence requires removing friction from AI development,” explained Rob Oshana, SVP of ADI’s Software and Digital Platforms group. “CodeFusion Studio 2.0 transforms the developer experience by unifying fragmented AI workflows into a seamless process, empowering developers to leverage the full potential of ADI’s cutting-edge products with ease so they can focus on innovating and accelerating time to market.”
Image courtesy Analog Devices, Inc.
