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The Efficiency of "Active" Intelligence
In the most recent AI News for March 2026, NVIDIA has unveiled the Nemotron-3-Super, a massive 120B parameter model that psychologically reframes how we think about "heavy" AI. Despite its size, it uses a Mixture-of-Experts (MoE) architecture that only activates 12B parameters during inference. At Scalexa, we’ve observed that this "Latent MoE" design allows businesses to run enterprise-grade reasoning locally with 5x higher throughput than previous models. This isn''t just a technical spec; it''s a psychological breakthrough for CEOs who want the power of a giant model without the sluggish latency. By running Nemotron-3-Super via Ollama, you gain a private, high-speed "digital brain" that remains entirely within your control. Scalexa helps you bridge the gap between cloud-level intelligence and local-speed execution, ensuring your automated workflows are as responsive as they are smart.
By running Nemotron-3-Super via Ollama, you gain a private, high-speed "digital brain" entirely within your control. Sovereign AI with Nemotron: Protecting Your IP in the Age of Open Weights
By running Nemotron-3-Super via Ollama, you gain a private, high-speed "digital brain" entirely within your control. Sovereign AI with Nemotron: Protecting Your IP in the Age of Open Weights
Compare Engines: Nemotron vs Llama 3.3: NVIDIA Nemotron-3-Super vs. Llama 3.3: Choosing the Right Engine for Your Workflows or solve the Context Explosion: Agentic Reasoning: Using Nemotron-3-Super to Solve the "Context Explosion".
