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#AI #Nvidia #Nemotron
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.
🔍 Key Topics:
Nvidia unveils *Nemotron Ultra*, a 253B open source AI model optimized for efficiency
Beats DeepSeek R1 and Llama 4 in tasks like code, math, and instruction-following
Features toggleable reasoning modes for shallow or deep thinking on demand
🎥 What You’ll Learn:
How Nemotron Ultra uses Neural Architecture Search and model compression to run on 8xH100
Why its “reasoning on/off” feature boosts performance across multiple benchmarks
What this means for *AI deployment*, cost-effective inference, and commercial applications
📊 Why It Matters:
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.
DISCLAIMER:
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.
#Nemotron #Nvidia #AI
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