Community recipes for serving LLMs on RTX GPUs
Published on May 24, 2026, the repository collects model-independent configurations for serving LLMs on RTX 3090, 4090, and 5090 GPUs, using vLLM, llama.cpp, and ik_llama.
Source: Receitas comunitárias para servir LLMs em RTX 3090, 4090 e 5090 (github.com). Text prepared with AI from this source.
What happened and what to do
Published on May 24, 2026, the repository collects community-contributed, model-independent recipes for serving LLMs on RTX 3090, 4090, and 5090 GPUs. The configurations cover vLLM, llama.cpp, and ik_llama, enabling comparisons across GPU generations and inference engines.
A company can use this kind of comparison to assess private inference options on its own infrastructure. Practical work could measure compatibility and performance on available hardware, record configurations and metrics in a monitoring pipeline, and set operational criteria for selecting and maintaining the service.
How the consultancy can help
Wendelmaques can assess your hardware, models, and operational requirements, define an implementation scope, and deliver a private serving setup with monitoring and operations tailored to your infrastructure.
Next step
Send a short description of your case and available GPU resources to receive a scoped proposal for diagnosis and implementation.
Let's assess your project
I reply with scope and a proposal.