Mistral Large 4 is a multimodal Mixture-of-Experts model from Mistral AI that accepts text and images and generates text for instruction following, reasoning, coding, and agentic workflows. It has ...

vLLM is a high-performance inference engine for serving LLMs at datacenter scale. However, getting the desired performance requires significant background knowledge and configuration experience, ...

Model Outputs. AI models generate responses and outputs that may be inaccurate, harmful, biased or indecent. NVIDIA hosts third-party models that could contain political content or potentially ...

Nemotron OCR v2 is a state-of-the-art multilingual text recognition model designed for robust end-to-end optical character recognition (OCR) on complex real-world images.

An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top ...

This playbook installs four native Agent Skills plus a dependency-free dgx-assist command-line tool into a project you choose. Asking your AI coding agent to serve a model or explain why a GPU is ...

NCCL (NVIDIA Collective Communication Library) enables high-performance GPU-to-GPU communication across multiple nodes. This walkthrough sets up NCCL for multi-node distributed training on two, three, ...

Removes unwanted noises from audio improving speech intelligibility. Background Noise Removal (BNR) is an audio background noise removal model from NVIDIA. BNR removes unwanted noises from audio, ...

Sorry, your browser does not support inline SVG. Sorry, your browser does not support inline SVG. Are all models free to use? All models on build.nvidia.com are free ...

Natural and expressive voices in 23 languages. For voice agents and brand ambassadors. Chatterbox Speech Generation TTS multilingual Text-to-Speech Get API Key ExperienceExperience Model CardModel ...

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You will choose a recipe for your device, run its commands, and test the model's API and tool calling. Along the way, you will see how the recipe uses memory, batches requests, and selects the code ...