Nvidia NIM microservices are designed to help you run AI on your local device, allowing you to do more with AI models.

The guidance also comes courtesy of NVIDIA via its RTX AI Garage campaign. Aimed at supporting enthusiasts and developers ...

The two models, Llama 4 Scout and Llama 4 Maverick, are available as NVIDIA NIM microservices and are built with a mixture-of-experts design to handle multilingual and multimodal tasks.

NVIDIA NIM — a set of inference microservices for developers to easily deploy AI models — enables Ansys users to connect with large language models (LLMs), in this case via a chatbot.

The company’s new Llama Nemotron family of reasoning models aim to help developers and enterprises build agentic AI platforms ...

The Llama Nemotron models are being made available through Nvidia’s NIM microservices platform in three sizes – Nano, Super and Ultra – optimized for different kinds of applications.

the Llama Nemotron model family is available as NVIDIA NIM™ microservices in Nano, Super and Ultra sizes — each optimized for different deployment needs. The Nano model delivers the highest ...

using NVIDIA AI Enterprise software — including NVIDIA NIM™ microservices for the new NVIDIA Llama Nemotron models with reasoning capabilities — as well as the new NVIDIA AI-Q Blueprint.

expanded integration between watsonx and Nvidia NIM, and AI services from IBM Consulting that use Nvidia Blueprints. IBM has broadened its support of Nvidia technology and added new features that ...

and the NVIDIA AI Enterprise software platform will make 160+ AI tools and 100+ NVIDIA NIM™ microservices natively available through the OCI Console. In addition, Oracle and NVIDIA are ...

The two models, Llama 4 Scout and Llama 4 Maverick, are available as NVIDIA NIM microservices and are built with a mixture-of-experts design to handle multilingual and multimodal tasks. Llama 4 Scout ...