Beyond Market Intelligence/Distributed LLM Inference

Distributed LLM Inference

Beyond Market Intelligence keeps Distributed LLM Inference in one place: one story so far. The section currently leads with “Distributed AI inference on Kubernetes gets a performance boost with Wasm and GPU acceleration”. WebAssembly on the backend is getting serious about performance. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every Distributed LLM Inference story on Beyond Market Intelligence, newest first.

Distributed AI inference on Kubernetes gets a performance boost with Wasm and GPU acceleration
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Distributed AI inference on Kubernetes gets a performance boost with Wasm and GPU acceleration

WebAssembly on the backend is getting serious about performance. In this episode, Edoardo Vacchi explains how distributed AI inference on Kubernetes gains speed through Wasm and GPU acceleration. He walks through running Java workloads on GPUs with TornadoVM, then shows how llm-d and vLLM optimize expensive GPU utilization across clusters. Cache locality, request routing, and batch inference all get attention here.