NVIDIA AI Releases Nemotron 3 Embed: An Open Embedding Collection Whose 8B Checkpoint Ranks #1 on RTEB
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NVIDIA released Nemotron 3 Embed, a collection of open embedding models for retrieval-augmented generation and agentic systems. The 8B model ranks #1 on the RTEB benchmark with an average NDCG@10 score of 78.46, and the 1B-NVFP4 variant achieves 99.5% accuracy retention of its BF16 parent while delivering up to 2x higher throughput on Blackwell hardware. The release includes three checkpoints supporting 32,768-token sequence lengths across multilingual tasks, with the smaller models created through neural architecture search pruning and knowledge distillation from the larger 8B teacher model.
Why it matters
NVIDIA released Nemotron 3 Embed on July 15 and 16, 2026. The collection has three open checkpoints: Nemotron-3-Embed-8B-BF16, Nemotron-3-Embed-1B-BF16, and Nemotron-3-Embed-1B-NVFP4. The 8B ranks #1 on RTEB at 78.46 average NDCG@10. The 1B came from ModelOpt NAS pruning plus COS+MSE distillation from the 8B teacher. NVFP4 retains 99%+ of BF16 retrieval accuracy at up to 2x Blackwell throughput. All three run 32,768-token inputs under OpenMDW-1.1. The post NVIDIA AI Releases Nemotron 3 Embed: An Open Embedding Collection Whose 8B Checkpoint Ranks #1 on RTEB appeared first on MarkTechPost.
