I'm not showing off. This is just what I am.

I'm an FDFS Freak — First Day, First Show. But in GenAI.

You know the type. The fan who books the earliest possible screening, front row, opening day. Not for the review scores, not for the crowd — for the sheer thrill …

UC Berkeley has open-sourced FreeToken, an edge-native inference engine that runs frontier-scale Mixture-of-Experts (MoE) models on consumer hardware. It treats GPU, CPU, host memory, and PCIe interconnects as a single unified inference platform.

The approach works because of how MoE models are structured. A model like DeepSeek-V4-Flash carries 284B total …

The frontier of AI is no longer just about who has the biggest model. It's about who can run intelligence cheaply, quickly, and everywhere. That shift is what Lean Inference is about: treating inference cost, latency, and accessibility as first-class engineering problems rather than afterthoughts.

For years the industry chased …

When you send a prompt to an LLM, three layers shape how fast you get a response: the hardware (GPUs, TPUs, LPUs), the model size and architecture, and the inference engine strategies sitting on top. Most of the latency battle is fought at that third layer — and the core problem …