How to make video AI models 100× faster without losing accuracy?

Video models choke on long sequences because attention scales quadratically with frame count. StateKV replaces full self-attention with a lightweight recurrent state that tracks important cross-frame context, then uses a separate cache for decoding. Tested on three benchmarks across seven pretrained models, it matches full attention accuracy while cutting prefill cost dramatically—and lets you run larger models within the same compute budget.