NVIDIA NIM offers a cloud-native deployment model, allowing users to run models using
NVIDIA API endpoints or in their own environment using NGC containers. It supports multi-model
and multi-instance serving, efficiently utilizing resources by hosting multiple models
concurrently with batching, and scaling across single or multiple GPUs. The flexible hosting
options include on-premises deployment with NGC containers, NVIDIA cloud-hosted endpoints, and
localhost inference endpoints commonly used for development.
NVIDIA NIM covers a broad range of use cases, supporting natural language processing tasks
such as text generation, reranking, embeddings, summarization, classification, and
translation. It also supports vision tasks including image classification, segmentation, and
object detection.
ASK INFAPreview
