Nemotron-Labs-3-Puzzle-75B-A9B: Compressing Hybrid MoE LLMs
We present Nemotron-Labs-3-Puzzle-75B-A9B, a compressed variant of Nemotron-3-Super optimized for interactive deployment. We designed the model to maximize server throughput under high user throughput constraints. In interactive serving workloads on a single 8xB200 node, Puzzle-75B-A9B achieves approximately 2x higher server throughput than Nemotron-3-Super at matched user throughput constraints. In ultra-long-context deployment on a single H100 GPU, the compressed model increases 1M-token concurrency from 1 request to 8 requests. Puzzle-75B-A9B is constructed using a multi-stage pipeline that combines the Iterative Puzzle compression framework with knowledge distillation, reinforcement l...
| Authors | Akhiad Bercovich, Talor Abramovich, Daniel Afrimi et al. |
|---|---|
| Primary category | cs.AI |
| Published | 5 July 2026 |
| Last updated at source | 7 July 2026 |
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