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Open models on your own GPUs: experiments, measurements and the exact commands behind them. Full write-ups at inferencekey.com

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Serving a 125B coding model to a team from one RTX 5090: what broke and what we tuned

Serving a 125B coding model to a team from one RTX 5090: what broke and what we tuned

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3 min read

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Kandinsky 6.0 in a pipeline: offload, the untimed default and what to measure

Kandinsky 6.0 in a pipeline: offload, the untimed default and what to measure

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4 min read
A 763B MoE on two 96 GB GPUs: put the idle experts in host RAM, then measure per stream

A 763B MoE on two 96 GB GPUs: put the idle experts in host RAM, then measure per stream

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4 min read
Same config.json, different serve command: what to check before serving AREX-2

Same config.json, different serve command: what to check before serving AREX-2

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5 min read
Three things that break when you point Claude Code at your own model

Three things that break when you point Claude Code at your own model

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4 min read
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