Hyperfusion Published on: 26/02/2026This guide covers how to run Qwen 3 behind an endpoint that speaks the same API format as OpenAI, so that your existing application code continues to work with minimal modification. We will go from model selection through to a production inference endpoint on H100 GPUs, with code you can copy directly into your project.
by: HyperfusionPublished on: 06/03/2026A practical guide to running Qwen models with OpenAI compatible APIs. Maintain your existing integrations while gaining more control over AI infrastructure.
by: HyperfusionPublished on: 06/03/2026Learn how engineering teams migrate from OpenAI to open-weight models, reduce inference costs, and run LLMs on dedicated infrastructure.
by: HyperfusionPublished on: 06/03/2026Learn how a SaaS AI platform reduced inference costs by 40% by testing open-weight models and migrating part of its OpenAI workload to dedicated LLM infrastructure.
by: HyperfusionPublished on: 26/02/2026Data sovereignty for AI workloads is becoming a hard requirement in the GCC, not just a preference. This post covers what the requirements actually are, why running inference on US or European hyperscalers does not fully solve the problem, and how regional GPU infrastructure changes the calculus.
