NVIDIA has released two new large language models: Nemotron-Labs-3-Puzzle-75B-A9B, an optimized version of Nemotron-3-Super-120B-A12B, designed for improved inference efficiency and long-context workloads. This model uses a hybrid MoE architecture and reduces parameter count while maintaining accuracy across various benchmarks. Additionally, NVIDIA introduced Nemotron-Labs-Audex-30B-A3B, an audio-text LLM built on Nemotron-Cascade-2-30B-A3B. Audex-30B-A3B extends its capabilities to audio tasks such as speech recognition, translation, and generation, while retaining strong reasoning and knowledge abilities from its text-only backbone and supporting a 1M-token context length. AI
IMPACT These releases enhance efficiency for interactive and long-context workloads, and expand LLM capabilities into audio processing, potentially accelerating adoption in specialized AI applications.
RANK_REASON Cluster contains announcements of new LLM models from NVIDIA, a frontier lab. [lever_c_demoted from frontier_release: ic=2 ai=1.0]
- Hugging Face
- Nemotron-3-Super-120B-A12B
- Nemotron-Cascade-2-30B-A3B
- Nemotron-Labs-3-Puzzle-75B-A9B
- Nemotron-Labs-Audex-30B-A3B
- NVIDIA
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