The Rise of Neural Architectures

The architecture of neural networks is undergoing a paradigm shift. For years, we relied on massive, centralized server farms to crunch the data required for deep learning. Today, the focus is shifting to the edge.

Edge-Native AI

Edge-native Neural Processing Units (NPUs) are specialized hardware accelerators designed to execute neural network operations efficiently on local devices. This shift addresses three critical challenges:

• Latency: Eliminating the round-trip to the cloud.
• Privacy: Data stays on the user's device.
• Bandwidth: Reducing the load on network infrastructure.