Taliesin – bit-exact KV-cache restore, 21x faster, cross-GPU verified

Taliesin enables bit-exact restoration of KV-cache data across different GPU architectures, achieving a 21x speedup for AI inference workloads. It is designed for ML engineers and researchers who need to migrate or share large language model inference states between heterogeneous GPU clusters without accuracy loss. This is interesting because it solves a critical bottleneck in distributed LLM serving, allowing seamless cross-GPU cache reuse while preserving model fidelity.