@zanoga Thanks for sharing! When you say:
“ … processing a lot of data every day.��
Would you mind sharing a bit more on the type of data and how you exploit it commercially? Trying to better understand the implied ROI
🚀 Introducing Nemotron-Cascade 2 🚀
Just 3 months after Nemotron-Cascade 1, we’re releasing Nemotron-Cascade 2: an open 30B MoE with 3B active parameters, delivering best-in-class reasoning and strong agentic capabilities.
🥇 Gold Medal-level performance on IMO 2025, IOI 2025, and ICPC World Finals 2025:
• Capabilities once thought achievable only by frontier proprietary models (e.g. Gemini Deep Think) or frontier-scale open models (i.e. DeepSeek-V3.2-Speciale-671B-A37B).
• Remarkably high intelligence density with 20× fewer parameters.
🏆 Best-in-class across math, code reasoning, alignment, and instruction following:
• Outperforms the latest Qwen3.5-35B-A3B (2026-02-24) and even larger Qwen3.5-122B-A10B (2026-03-11).
🧠 Powered by Cascade RL + multi-domain on-policy distillation:
• Significantly expand Cascade RL across a much broader range of reasoning and agentic domains than Nemotron-Cascade 1, while distilling from the strongest intermediate teacher models throughout training to recover regressions and sustain gains.
🤗 Model + SFT + RL data:
👉 https://t.co/4QJqfTOt6I
📄 Technical report:
👉 https://t.co/dFC00m6RZU
request to bring back logprobs for 3 and 3.1 and have some consistency between vertex and gemini api 🙏 @OfficialLoganK@googleaidevs
https://t.co/zDouKwJXjo