Thursday, December 19, 2024

Alif Semiconductor Boosts Endpoint-AI with PyTorch (ExecuTorch) Integration

Alif Semiconductor, the leading supplier of scalable, power efficient microcontroller solutions with integrated AI acceleration, announced it will support the ExecuTorch framework that was recently introduced by PyTorch. ExecuTorch enables on-device inference capabilities across mobile and edge devices and will provide users of Alif’s Ensemble® and Balletto devices with an even more seamless path to design, optimize, train, and deploy machine learning models directly on endpoint devices. The integration will allow data and decisions to be processed immediately on-device, which enables privacy-aware personalization, reduces power consumption, and significantly increases the flexibility of on-device AI use-cases.

“Since we launched our Ensemble family of AI-Enabled MCUs into the market three years ago, we have seen a tremendous level of interest in transitioning machine learning closer to the source of the data,” commented Reza Kazerounian, president and co-founder at Alif Semiconductor. “ExecuTorch will significantly broaden the use cases that can be realized by this transition, and Alif is very excited to collaborate with PyTorch on bringing this to microcontroller devices.”

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Alif is also collaborating with Arm on bringing support for hardware acceleration of transformer-based models for the first time to microcontroller devices, which will enable a frictionless path for language models and other advanced use-cases to be deployed to edge devices using ExecuTorch.

The AI-enabled Ensemble MCUs and fusion processors from Alif Semiconductor are fully mass production qualified.

Alif Semiconductor is the industry-leading supplier of the next-generation Ensemble family of microcontrollers and fusion processors. The Ensemble family scales from single core MCUs to a new class of multi-core devices, fusion processors, that blend up to two Cortex-M55 MCU cores, up to two Cortex-A32 microprocessor cores capable of running high-level operating systems, and up to two Ethos-U55 microNPUs for AI/ML acceleration. With multi-layered security, scalable performance, and next-level integration, Alif MCUs and MPUs provide a wide range of functionalities on a single monolithic die. The Alif Ensemble family delivers increased AI/ML efficiency, lowers power consumption, and keeps data safe, all while offering a scalable processor continuum.

SOURCE: PRNewswire

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