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Deutsch(DE) NVIDIA publiziert Nemotron-Labs-3-Puzzle-75B-A9B-NVFP4 für Blackwell. LatentMoE mit Mamba-Interleaving, Multi-Token Prediction (MTP) und NVFP4-Quantisierung die

NVIDIA releases Nemotron-Labs-3-Puzzle-75B for Blackwell hardware

NVIDIA has released its Nemotron-Labs-3-Puzzle-75B model, optimized for serving on Blackwell hardware. The model incorporates LatentMoE with Mamba-Interleaving and Multi-Token Prediction (MTP) for enhanced throughput. It is available under the OpenMDW-1.1 license, permitting commercial use. AI

IMPACT Optimizes serving infrastructure and potentially increases throughput for large models.

RANK_REASON NVIDIA is a frontier lab releasing a new model with specific technical details.

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AI-generated summary · Google Gemini · from 3 sources. How we write summaries →

NVIDIA releases Nemotron-Labs-3-Puzzle-75B for Blackwell hardware

COVERAGE [3]

  1. Mastodon — mastodon.social TIER_1 Deutsch(DE) · aisyndicate ·

    NVIDIA publishes Nemotron-Labs-3-Puzzle-75B-A9B-NVFP4 for Blackwell. LatentMoE with Mamba-Interleaving, Multi-Token Prediction (MTP) and NVFP4 Quantization

    NVIDIA publiziert Nemotron-Labs-3-Puzzle-75B-A9B-NVFP4 für Blackwell. LatentMoE mit Mamba-Interleaving, Multi-Token Prediction (MTP) und NVFP4-Quantisierung dienen der Serving-Optimierung. OpenMDW-1.1 erlaubt kommerzielle Nutzung; AIME25: 89,9. https:// huggingface.co/nvidia/NVID…

  2. Mastodon — mastodon.social TIER_1 Deutsch(DE) · aisyndicate ·

    Nemotron-Labs-3-Puzzle-75B-A9B: LatentMoE with Mamba and Attention Layers, Compressed via Iterative Puzzle. MTP-Heads Increase Throughput on 8×B200 by Approx.

    Nemotron-Labs-3-Puzzle-75B-A9B: LatentMoE mit Mamba- und Attention-Layern, komprimiert via Iterative Puzzle. MTP-Heads steigern den Durchsatz auf 8×B200 um ca. 2×. Lizenz OpenMDW-1.1, kommerzielle Nutzung erlaubt. https:// huggingface.co/nvidia/NVIDIA-N emotron-Labs-3-Puzzle-75B-…

  3. Mastodon — mastodon.social TIER_1 Deutsch(DE) · aisyndicate ·

    Nemotron-Labs-3-Puzzle-75B-A9B-FP8 utilizes LatentMoE, Mamba2, and Multi-Token Prediction. On 8×B200, throughput increases by 2×, H100 competition at 1M tokens

    Nemotron-Labs-3-Puzzle-75B-A9B-FP8 nutzt LatentMoE, Mamba2 und Multi-Token Prediction. Auf 8×B200 steigt der Durchsatz um 2×, die H100-Konkurrenz bei 1M-Token-Kontext auf 8 Requests. Lizenz: OpenMDW-1.1. AIME25: 89.4, MMLU-Pro: 82.0. https:// huggingface.co/nvidia/NVIDIA-N emotro…