Perplexity just integrated NVIDIA’s Nemotron 3 Super across its entire product suite, rolling it out to the main app, Agent API, and Perplexity Computer. The addition gives both search users and developers building automated agent workflows immediate access to NVIDIA's high-performance model alongside existing options.
Nvidia just released Nemotron 3 Super, an open 120B-parameter model that activates only 12B parameters at inference to deliver 5x higher throughput for agentic workflows. It combines Mamba layers, multi-token prediction, and a 1-million-token context window to prevent goal drift across long tasks. It essentially solves the massive context explosion and thinking tax that hold multi-agent systems back.
NVIDIA just debuted Nemotron 3, a family of open models built specifically for multi-agent AI systems. Leading the pack is the lightweight Nano model, which quadruples token throughput over its predecessor using a hybrid MoE design, backed by open-source datasets and RL libraries.
