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Tate Berenbaum

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#artificial intelligence Preprint Oct 2026

Cascadia: Resident 975B MoE Inference on Eleven AI PCs

This work presents Cascadia's resident execution of Inkling, a 975B-total/41B-active-parameter model, and contributes a custom resident MoE engine that preserves Inkling's routing rules, constructs compressed graphs for OpenVINO's fused iGPU primitives, and coordinates FP16 expert computation with FP32 output restorati...

Tate Berenbaum, Matias Parij, M. Venkatachalam · 0 citations
#artificial intelligence Preprint Sep 2026

Cascadia: A Control-Plane-Free Alternative to Hyperconverged AI Infrastructure

We present Cascadia, a system for serving large language models on fleets of commodity Intel AIPCs using their CPU, integrated-GPU, and NPU resources. Every node embeds ingress, scheduling, and execution; inference requests require no dedicated routing control plane. Nodes join a libp2p QUIC mesh using CA-issued ed2551...

Matias Parij, Pawan Paudel, Tate Berenbaum et al. · 1 citation

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