Alif Semiconductor Adds ExecuTorch Runtime Support to Ensemble MCUs for Edge Generative AI
Alif Semiconductor has added support for the ExecuTorch Runtime across its Ensemble E4, E6, and E8 microcontrollers and fusion processors, announced in a press release. The update allows developers to run generative AI models locally on edge and endpoint devices using the PyTorch framework.
The Ensemble series includes hardware acceleration for transformer networks through the Arm Ethos-U85 NPU, enabling low-latency, high-accuracy inference on resource-constrained systems. At the PyTorch Conference in San Francisco, Arm and Alif demonstrated generative AI models compiled with ExecuTorch running on the Ensemble E8, including a small language model generating stories from visual prompts and real-time speech-to-text applications for wearables.
The ExecuTorch Runtime extends PyTorch’s capabilities to lightweight, quantized models suited for microcontrollers, supporting applications in devices such as smart glasses, robotics, healthcare equipment, and smart home systems. The Alif DK-E8 development board, compatible with the Ensemble E4, E6, and E8 series, is now available for purchase.
We hope you enjoyed this article.
Consider subscribing to one of our newsletters like Silicon Brief or Daily AI Brief.
Also, consider following us on social media:
More from: Data Centers
Subscribe to Silicon Brief
Weekly coverage of AI hardware developments including chips, GPUs, cloud platforms, and data center technology.
Market report
2025 Generative AI in Professional Services Report
This report by Thomson Reuters explores the integration and impact of generative AI technologies, such as ChatGPT and Microsoft Copilot, within the professional services sector. It highlights the growing adoption of GenAI tools across industries like legal, tax, accounting, and government, and discusses the challenges and opportunities these technologies present. The report also examines professionals' perceptions of GenAI and the need for strategic integration to maximize its value.
Read more