RunInfra optimizes open-source AI models for production by benchmarking GPUs, tuning inference kernels, and delivering a deployable, inspectable stack your team can own and run independently.
Key benefits include:
- GPU & Model Benchmarking: Compare hardware performance across GPUs (L4, A100, H100, etc.) to select the best fit for your open model.
- Kernel Optimization: Tune inference kernels to maximize speed and efficiency for your model and hardware, with support for vLLM, SGLang, TensorRT-LLM, and Transformers.
- Exportable Production Stack: Deploy a ready-to-use API stack that runs independently of RunInfra, giving full control over your infrastructure.
- Multi-Engine & Model Support: Optimize with popular open models (Llama, Whisper, Qwen, etc.) and serving engines, ensuring compatibility with Hugging Face and other sources.
- Secure Infrastructure: End-to-end encryption, isolated GPUs, and zero data retention ensure secure, private AI deployment.
Perfect for developers and teams deploying open-source AI models who need control, performance, and security in production.
