How does PagedAttention work?

The technique organizes the KV cache (the running state of self-attention during autoregressive generation) into fixed-size blocks (typically 16 tokens each), allocated and tracked through a virtual-memory-style indirection layer. This eliminates the wasted memory of static pre-allocation, enabling 2x-4x more concurrent requests on the same hardware. The platform strengthens ent