Run LLMs and multi-modal models cost-efficiently and scalably on any cloud or AI hardware with NOS, a fast and flexible multi-modal inference server built from the ground-up.
Designed to optimize, serve and auto-scale PyTorch models in prod. without compromise.
Serve multiple foundation models simultaneously in a single instance.
Deploy PyTorch models on any AI HW (NVIDIA, AMD, AWS Inf2, GCP TPUs).
Run on any cloud (AWS, GCP, Azure, On-Prem) with our ready-to-use inference containers.
Check out our nos-playground for more examples.