NVIDIA's NIM API catalog offers Nemotron and Llama-3.1 models from compact edge variants to ultra-scale versions, supporting language, vision-language, coding, math, and specialized tasks. The diverse parameter sizes and modalities let developers balance accuracy with efficiency across PCs, on-device inference, and high-performance servers. Key Points: - Models range from 4B "nano" to 253B "ultra" parameters for flexible accuracy-efficiency tradeoffs - Multi-modal options combine text, image, and video understanding - Advanced reasoning, coding, and math capabilities for scientific and AI agent use cases - Edge-optimized variants enable low-latency, on-device inference - Bilingual Hindi-English model expands language support - 70B reward model facilitates RLHF for better human alignment - Emphasis on high inference efficiency and domain versatility https://build.nvidia.com/search/models?filters=publisher%3Anvidia&q=Nemotron&ncid=no-ncid