open source AI model, Llama 4 vs DeepSeek R1, best open source AI 2025, new AI model outperforming Llama, AI model comparison, DeepSeek R1 performance, Llama 4 vs new AI, AI task performance, open source AI breakthrough, AI model benchmark, next-gen AI tools, open source AI technology, AI speed accuracy comparison, AI model review, open-source AI vs commercial, DeepSeek AI review, AI 2025 performance, fastest open source AI, Llama 4 alternative, new AI tools 2025, AI task handling comparisonbr br #AI #Nvidia #Nemotronbr Nvidia has released Nemotron Ultra, a powerful open source AI model with 253 billion parameters that outperforms larger models like DeepSeek R1 and Llama 4 in most tasks. It features a unique “reasoning on” and “reasoning off” mode, allowing it to switch between deep and fast thinking, making it ideal for code generation, math, and complex instruction-following. Built using Neural Architecture Search and optimized for efficiency, it runs on a single 8xH100 setup and supports extended context lengths up to 128,000 tokens.br br 🔍 Key Topics: br Nvidia unveils *Nemotron Ultra*, a 253B open source AI model optimized for efficiency br Beats DeepSeek R1 and Llama 4 in tasks like code, math, and instruction-following br Features toggleable reasoning modes for shallow or deep thinking on demand br br 🎥 What You’ll Learn: br How Nemotron Ultra uses Neural Architecture Search and model compression to run on 8xH100 br Why its “reasoning onoff” feature boosts performance across multiple benchmarks br What this means for *AI deployment*, cost-effective inference, and commercial applications br br 📊 Why It Matters: br This video breaks down how Nvidia’s Nemotron Ultra is redefining large language models with powerful reasoning control, massive context windows, and state-of-the-art results—making high-performance AI more accessible than ever. br br DISCLAIMER: br This video explores Nvidia’s Nemotron Ultra and its impact on the AI landscape, highlighting key benchmarks, architecture choices, and its practical advantages over larger models.