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Why WideEP Inference Needs Data-Parallel-Aware SchedulingPyTorch Conference Europe 20262026-04-07
WideEP fails not from expert cost but because routing ignores where KV state lives. Using vLLM plus LMD and a router extension called llm-d that reads KV-cache…
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The Token Slice: Implementing Preemptive Scheduling Via Chunked Decod...PyTorch Conference Europe 20262026-04-07
An experimental Chunked Decoding system slices generation into fixed-size token time slices and runs as a sidecar implementation for PyTorch servers (example…
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Lightning Talk: KV-Cache Centric Inference: Building a State-Aware...PyTorch Conference Europe 20262026-04-07
KV-cache centric inference reframes serving so KV state becomes the primary resource, implemented with llm-d plus vLLM, LLMCache and Envoy on Kubernetes; it…
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Lightning Talk: Not All Tokens Are Equal: Semantic KV-Cache for Agen...PyTorch Conference Europe 20262026-04-07
A runtime called Semantic KV-Cache replaces anonymous KV blocks in llm-d and vLLM with typed state that tags tokens as SystemPrompt, ToolDefinition…
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