Arm Ethos-N78 NPU: Unprecedented Machine Learning Capability at your Fingertips
Our everyday lives generate huge amounts of data and information – digital, biological, physical, and sensorial. With advances in AI, this data can be used to create incredible benefits for humankind. To realize this challenge and extract useful information, we need to be able to process this data when it is generated, where it generated. At Arm we are on a mission to enable machine learning (ML) on-device, allowing data to be processed, analyzed, and utilized in the real world. This helps provide several advantages for consumers – from enhanced security and privacy to more reliability and responsiveness.
With Arm, ML workloads will run on the Arm Cortex-A CPU – the world’s foremost ML processor, deployed in almost every smartphones in the world, and a vast array of other devices. However, ML can benefit from having a specialized Neural Processing Unit (NPU) which delivers an exponential improvement in performance and efficiency. An NPU’s processing capability enables the development of exciting new applications to enable true digital immersion. An example of this is a shopping application, which places virtual objects in a physical space or smart home-hubs with augmented reality (AR) story-times for kids. Beyond smartphones, NPUs can also enable a wide range of devices such as life-saving smart baby cameras which can monitor a baby’s breathing or temperature.
To read the full article, click here
Related Semiconductor IP
- ARM HSSTP PHY with Link Layer
- AHB Low Power Subsystem - ARM Cortex M0
- AHB Performance Subsystem - ARM Cortex M0
- AHB Performance Subsystem - ARM Cortex M3
- AHB Secure Subsystem - ARM Cortex M3
Related Blogs
- Benefit of pruning and clustering a neural network for before deploying on Arm Ethos-U NPU
- Arm and Arteris IP present AI NPU and ISO 26262 integration together at ICCAD China
- NVIDIA, Arm CEOs Share Vision of a Deal Made for a Hypergrowth Era
- Arm M&A Nonsense
Latest Blogs
- Accelerating RTL Design with Agentic AI: A Multi-Agent LLM-Driven Approach
- UEC-CBFC: Credit-Based Flow Control for Next-Gen Ethernet in AI and HPC
- RISC-V for Infrastructure: For Now, It’s All About the Developer
- Unlock Your AI Potential: A Deep Dive into BrainChip’s Akida™ Cloud
- Breaking the Silence: What Is SoundWire‑I3S and Why It Matters