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The Alif Blog

Marrying Fast Memory and Fast Processors

For the CPU and NPU to work at full speed, they need sufficient fast memory capacity and a fast pipeline between them. This is another domain in which the Ensemble and Balletto MCUs demonstrate their difference from MCUs that are not optimized for edge AI.

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Understanding the Ensemble difference: Why the NPU is closely tied to its CPU

Benchmarking scores show conclusively that a microcontroller with a neural processing unit (NPU) performs AI/ML inferencing operations far better than an MCU with a CPU alone. Alif’s tests show that for speech recognition, for instance, a combination of an Ensemble MCU’s Arm Cortex-M55 CPU and Arm Ethos-U55 NPU performs inferencing around 800x faster and uses around 400x less energy per inference than an older Cortex-M CPU on its own.

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The Future of Bluetooth Low Energy with Alif’s Balletto MCUs

Bluetooth Low Energy, also known as BLE, is a wireless communication standard designed to provide reliable connectivity while consuming minimal power. It’s become a critical enabler for IoT devices, wearables, audio applications, and smart endpoints, where energy efficiency and seamless interaction are key.

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IoT Security With AI: How Alif Semiconductor is Shaping Smarter, Safer Devices

The Internet of Things (IoT) is revolutionizing how we interact with technology, connecting devices across homes, cities, and industries. As IoT systems become more prevalent, though, so do the security challenges associated with it. Cyberattacks targeting IoT devices are on the rise, creating an urgent need for scalable, proactive security solutions.

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