to streamline the process from concept to implementation across ADI's diverse processors and microcontrollers.
"The next era of embedded intelligence requires eliminating the frictions of AI development," says Rob Oshana, senior vice president 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, enabling them to easily leverage the full potential of ADI's cutting-edge products so they can focus on innovation and accelerate time to market."
Empowering developers with end-to-end AI workflows,
CodeFusion Studio 2.0 now supports complete AI workflows, allowing developers to bring their own models in and efficiently deploy them across ADI's processors and microcontrollers, from low-power peripherals to high-performance DSPs (digital signal processors). The latest platform, based on Microsoft Visual Studio Code, features an integrated model compatibility checker, performance profiling tools, and optimization capabilities designed to ensure robust deployment and accelerate time to market.
A new modular framework based on Zephyr enables runtime performance profiling for AI/ML workloads, offering layer-by-layer analysis and seamless integration with ADI's heterogeneous platforms. This encapsulation of toolchains simplifies machine learning deployment and improves system-level performance insights.
Unified Development Experience:
The updated CodeFusion Studio System Planner now supports multi-core applications and broader device compatibility, while unified configuration tools reduce complexity across the entire ADI hardware ecosystem. Developers benefit from built-in debugging capabilities, including memory dump analysis and GDB (GNU Debugger) support, making troubleshooting faster and more intuitive.
ADI Prepares Its Digital Roadmap for the Future:
CodeFusion Studio 2.0 is the latest milestone in ADI’s open-source integrated development platform, embodying its commitment to providing developer-focused 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 the evolving needs of developers as they experiment with physical AI.
“Companies delivering physically aware AI solutions are poised to transform industries and create new industry-leading opportunities. That’s why we’re building an ecosystem that enables developers to seamlessly optimize, deploy, and evaluate AI models on ADI hardware, even without physical access to a board,” said Paul Golding, ADI’s Vice President of Edge AI and Robotics. "CodeFusion Studio 2.0 is just one more 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."
