NVIDIA NIM

NVIDIA is focused on helping to simplify the deployment of generative AI models running on accelerated infrastructure. NVIDIA NIM provides access to a broad range of AI models, available immediately as performance optimized and portable inference microservices.

NIM’s have a OpenAI compatible API endpoint and are categorized by model family and a per model basis. This allows Developers to quickly build enterprise-grade AI applications with various AI models, from the following families:

Large Language Models

Handles a wide range of text generation tasks, such as question answering, summarization, reasoning, and code generation.

Retrieval Models

Optimize text question-answering retrieval and improve accuracy by reranking potential candidates.

Visual Models

Offers advanced image and video synthesis capabilities, utilizing techniques like Adversarial Diffusion Distillation and latent diffusion models.

Multimodal

Combines visual and textual understanding for enhanced performance across tasks such as image understanding, text generation, and code generation, leveraging multiple modalities of data (text + images).

Healthcare Models

AI model APIs for generative and predictive drug discovery, medical imaging, and genomics analysis.

Route Optimization

Optimizes logistics routing, supporting various vehicle routing problem variants and enabling dynamic, data-driven decision-making.

Climate Simulation Models

Features FourCastNet for accurate, high-resolution, and fast-timescale weather forecasting, advancing climate simulation and weather prediction through AI.