The only constant in the world of AI is change. Higher processing requirements and new algorithms are introduced regularly. In this environment a solution must have high flexibility and programmability, since everything evolves rapidly, making any hard-coded approach non-viable from the start. The processing power requirements keep increasing as new AI inference and real-time processing requisites are announced. Edge AI needs low latency as well as lower energy consumption and has power constraints. Ultimately it comes down to cost = silicon area.