UpBeat Technology, a leader in ultra-low-power compute, voice, and edge AI sensing solutions, has partnered with SiFive, Inc., a premier provider of commercial RISC-V processor IP and silicon solutions, to unveil the UP201/UP301 family MCU. This next-generation dual-core RISC-V microcontroller delivers unmatched ultra-low-power efficiency and will be showcased at the RISC-V Summit in Santa Clara, CA, on October 22–23, 2025.
The UP201/UP301 family MCU sets a new standard in edge AI performance, enabling real-time intelligence with minimal energy consumption. The microcontroller integrates two SiFive Essential IP cores alongside two AI accelerators designed by UpBeat Technology, achieving industry-leading performance per watt. This combination makes the MCU ideal for always-on IoT devices, wearables, drones, and edge AI applications. At its core, UpBeat’s patented Error Detection and Correction (EDAC) architecture underpins the device’s resilience and reliability.
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By leveraging near-threshold operation, EDAC-enhanced design, and innovative SRAM, the UP201/UP301 family delivers unprecedented energy efficiency at 16.8 uW/MHz/DMIPS (Dhrystone). Compared to traditional ARM-based microcontrollers, this platform scales up to 400 MHz or 717 DMIPS, offering a production-ready solution that balances performance, intelligence, and energy efficiency for the next generation of connected devices.
FuJen Hsiao, CEO of Awan-sensing, commented, “From bring-up to production, UpBeat Technology’s UP201/UP301 family of MCUs has been very easy to work with. Its power profiles exceeded our targets ultra-low power in sleep and highly efficient under active load. The integrated AI accelerator and DSP offload inference and signal processing, enabling us to meet real-time deadlines. Thanks to the SoC’s low-power, high-performance architecture, we can push more on-device processing richer models, longer duty cycles, and new features without compromising battery life.”
Jack Kang, SVP of WW Business Development at SiFive, added, “As AI continues its rapid shift to edge computing, power efficiency is becoming the most critical factor for success. By leveraging SiFive’s Essential Family of RISC-V IP cores, UpBeat Technology has designed an incredibly low-power MCU, which delivers the performance needed to run AI at the edge while enabling superior energy efficiency and extended battery life. We are excited to partner with UpBeat Technology on the launch of the UP201/UP301 family MCU at the RISC-V Summit, advancing both edge-AI innovation and broader RISC-V adoption.”
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Attendees can experience the UP201/UP301 MCU at the SiFive booth, demonstrated alongside UpBeat’s ultra-low-power MEMS Bone Conduction Microphone (BCM) optimized for high-quality sound at minimal energy consumption. Additionally, UpBeat Technology will host a session titled “A Heterogeneous Dual-Core RISC-V Edge AI Platform for Power-Efficient Machine Learning” on October 22, 2025, at 11:10 a.m., featuring live demos and hands-on training.
Engineering samples and the SDK are now available, along with datasheets, reference designs, and other resources. Target applications include always-on IoT devices, wearables, drones/UAVs, smart audio, predictive maintenance, and edge AI sensors, highlighting the MCU’s versatility and power efficiency.
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