Introducing Yoniq Compute
This is a dev post classified by Jev as Hosting & infra (a tool drop), kept by the Dev Radar because it carries real work, not commentary.
Introducing Yoniq Compute This repo provides a quick and simple way to stage a Linux node for ML workloads, including scripts to build & serve inference cookbook recipes across SGLang / vLLM Recipes were validated on 1x, 2x, 4x, and 8x NVIDIA H200s, with future support for additional GPUs & models Recipes include model orgs from: Ai2, Arcee AI, Cohere, Datalab, DeepSeek, Dots Studio, Google, IBM, InclusionAI, Inco AI, Inferact, Intel, Liquid AI, Meta, Microsoft, MiniMax, Mistral AI, Moonshot AI, Nanbeige, Nex-AGI, NVIDIA, OpenAI, Paradigma, Prime Intellect, Poolside, Qwen, RadixArk, Red Ha
Posted by Yannick Monye (11.2k followers) 1 h ago · 5 likes · 181 views · view the original post on X. Kept by the Dev Radar as Hosting & infra.
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