XWind is a reactive cross-site router for LLM inference at wind farms that cuts P99 latency by up to 52% versus strong baselines in a 64-GPU emulation of three sites.
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SkVM uses capability profiling and compiler-style techniques to make skills portable across LLMs and harnesses, raising task completion rates while cutting token use by up to 40% and delivering up to 3.2x speedup.
Nitsum dynamically adapts tensor parallelism and GPU splits in LLM serving to raise SLO-compliant goodput by up to 5.3 times over prior systems.
citing papers explorer
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XWind: A Cross-site Router for Large Language Model Inference Serving at Renewable Energy Farms
XWind is a reactive cross-site router for LLM inference at wind farms that cuts P99 latency by up to 52% versus strong baselines in a 64-GPU emulation of three sites.
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SkVM: Revisiting Language VM for Skills across Heterogenous LLMs and Harnesses
SkVM uses capability profiling and compiler-style techniques to make skills portable across LLMs and harnesses, raising task completion rates while cutting token use by up to 40% and delivering up to 3.2x speedup.
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Nitsum: Serving Tiered LLM Requests with Adaptive Tensor Parallelism
Nitsum dynamically adapts tensor parallelism and GPU splits in LLM serving to raise SLO-compliant goodput by up to 5.3 times over prior systems.