Tensor Deduplication for Multi-Model Inference

Summary &#xA; &#xA; Problem : Multi-model workloads are the norm: A/B tests, customer fine-tunes, safety variants, multi-stage pipelines. GPU memory scales linearly with model count, and VRAM is the limiting resource. &#xA; Solution : Tensor deduplication automatically identifies and shares bit-identical weight tensors across models, requiring no checkpoint modifications. &#xA; Results : Across…