Analog Devices Enhances Embedded AI with CodeFusion Studio 2.0

Analog Devices, Inc. (ADI) has unveiled CodeFusion Studio 2.0, the latest iteration of its open-source embedded development platform aimed at streamlining and expediting AI-driven embedded system design. This updated platform introduces a host of new tools and automation features that empower developers to transition from concept to deployment more swiftly and with fewer integration hurdles.

For readers of eeNews Europe who are engaged with ADI processors, microcontrollers, or edge-AI workloads, this release highlights the evolution of embedded intelligence towards quicker prototyping, enhanced performance profiling, and seamless software-hardware integration.

Empowering developers with AI-driven workflows

CodeFusion Studio 2.0 equips developers with comprehensive end-to-end AI workflows. It enables developers to bring their own AI models and efficiently deploy them across ADI’s entire hardware spectrum—from ultra-low-power edge devices to high-performance DSPs. Leveraging Microsoft’s Visual Studio Code as its foundation, the environment incorporates a model compatibility checker, performance profiling tools, and optimization capabilities to ensure robust deployment and expedited time-to-market.

A notable addition is the Zephyr-based modular framework, which provides runtime performance profiling for AI/ML workloads. Developers can conduct layer-by-layer analysis to fine-tune inference performance and enhance system efficiency. This framework also facilitates seamless integration with ADI’s heterogeneous platforms, simplifying machine learning deployment while enhancing visibility into system-level performance.

Unified and scalable development

The latest version introduces an enhanced CodeFusion Studio System Planner that now supports multicore applications and a broader range of ADI devices. Unified configuration and debugging tools further mitigate development complexities across ADI’s ecosystem. Engineers can leverage built-in debugging features such as Core Dump Analysis and GDB (GNU Debugger) support, enhancing the troubleshooting experience with greater intuitiveness and efficiency.

According to ADI, CodeFusion Studio 2.0 embodies its dedication to providing developer-centric tools that streamline complexity and drive innovation forward. The company views this release as a stride towards a future where embedded systems seamlessly integrate AI at all levels, from sensor nodes to system processors.

Future-proofing ADI’s embedded ecosystem

CodeFusion Studio 2.0 also mirrors ADI’s long-term strategy to fortify its open-source embedded development framework. Subsequent versions are anticipated to offer deeper hardware-software integration, expanded runtime environments, and new features tailored to meet the evolving needs of developers as they delve into physical AI experimentation.

With this unveiling, Analog Devices continues to position itself as a catalyst driving the next wave of embedded AI innovation—empowering engineers to construct smarter, faster, and more efficient systems across various industries.

Source: ADI