Analog Devices rolls out CodeFusion Studio 2.0
Update plugs into Microsoft's Visual Studio Code, adds live profiling and broader model support, and aims to move on-device AI from lab to market faster.
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Wilmington, Massachusetts-based chipmaker Analog Devices has rolled out CodeFusion Studio 2.0, an update to its open-source developer platform that aims to make building and deploying AI on devices faster and simpler.
The tools plug into Microsoft’s Visual Studio Code and add checks for model compatibility, performance profiling and optimization so engineers can move designs from test rigs to production with fewer steps, the company said.
A new Zephyr-based framework lets developers profile machine-learning tasks in real time and see layer-by-layer behavior across different chips inside a product, useful when a device mixes microcontrollers, digital signal processors and dedicated accelerators.
The company is positioning CodeFusion as a way to standardize on-device AI development on its hardware and cut the hassle of juggling multiple tool sets.
Analog Devices said the update supports more AI models and works more smoothly with its chips, which should help products reach the market faster.
The company is best known for analog, mixed-signal and signal-processing semiconductors used in industrial equipment, cars, communications gear and digital health devices.
It reported more than $9 billion in revenue in fiscal 2024 and employs about 24,000 people.
Recent earnings updates and guidance pointed to improving demand into 2025, led by industrial and automotive customers.
The 2.0 release follows earlier expansions of the CodeFusion tool set over the past year, including security and system-planning features, as Analog Devices courts developers building on-device AI. The platform and source repositories are available through the company’s site and public GitHub.
