NVCF: Deploy and Route GPU-Accelerated AI Workloads at Scale
NVIDIA's NVCF (NVIDIA Cloud Functions) is a framework for deploying and routing GPU-accelerated AI workloads at scale. It enables serverless execution of AI inference and data processing tasks across distributed cloud environments, optimizing resource usage and reducing latency for production AI applications.
Background
NVIDIA, the dominant maker of chips used for AI and graphics, runs a cloud service called NVIDIA Cloud Functions (NVCF) that lets developers deploy GPU-accelerated AI models without managing their own servers. Unlike general-purpose clouds (AWS, Azure, GCP), NVCF specializes in running AI inference workloads — especially large language models — across NVIDIA's own data centers. It competes with serverless AI offerings from cloud providers and with model-hosting platforms like Hugging Face or Replicate. This GitHub repo is the open-source client SDK for interacting with NVCF's API, so developers can invoke models, manage deployments, and handle routing from their own code.