Together AI 发布了两款新的 NVIDIA Nemotron 模型：Nemotron 3 Ultra 和 Nemotron 3.5 ASR。Nemotron 3 Ultra 专为需要长期规划和迭代的复杂智能体任务而设计，拥有 5500 亿参数和 100 万个 token 的上下文窗口。Nemotron 3.5 ASR 针对流式语音识别和语音智能体进行了优化，提供低延迟的多语言能力。 AI
影响 为智能体工作负载和语音识别提供了新的开源模型，可能降低开发者的门槛。
排序理由 非前沿实验室发布新的开源模型。
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AI 生成摘要 · Google Gemini · 来自 3 个来源。 我们如何撰写摘要 →
Nemotron 3.5 ASR is built for streaming multilingual speech recognition and voice agents. One 0.6B checkpoint. 40 language-locales. Sub-100ms latency. Cache-aware FastConformer carries context forward between chunks instead of repeatedly reprocessing overlapping audio. Try it:
Nemotron 3 Ultra is built for long-horizon agents that need to plan, code, test, debug, and iterate across large working sets. 550B parameters, 55B active, 1M context, Hybrid Mamba-Transformer MoE, Multi-Token Prediction, and multi-environment RL training. Try it:
Introducing two NVIDIA Nemotron models on Together AI: Nemotron 3 Ultra for high-throughput agentic workloads and Nemotron 3.5 ASR for low-latency multilingual speech recognition. AI natives can now build coding agents, deep research agents, and real-time voice systems on the AI…