Analog Devices Unveils CodeFusion Studio™ 2.0 to Simplify and Accelerate Embedded AI Development
- New End-to-end AI workflow support with bring-your-own-model capability, model checks and performance profiling enables rapid deployment across ADI's full hardware portfolio.
- New Unified configuration tools, multi-core support and integrated debugging streamline development across heterogeneous systems.
- 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.
"The next era of embedded intelligence requires removing friction from AI development," said
Empowering Developers with End-to-End
A new Zephyr-based modular framework 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 enhances system-level performance insights.
Unified Development Experience
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.
ADI Future Proofs Its Digital Roadmap
"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
Availability
Additional Resources
Developer Website
Blog: CodeFusion Studio™ 2.0: Accelerating Deployment of Physical Intelligence
Blog: Rethinking IDE's: The Future of Embedded and
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