NVIDIA launches Nemotron-3-Embed retrieval models
NVIDIA has released the Nemotron-3-Embed family, a pair of open, commercially usable multilingual embedding models aimed at agentic retrieval, code retrieval, and agent memory. The launch matters because NVIDIA is positioning retrieval quality as a direct lever on agent answer quality, and because its larger model was announced as the top overall system on RTEB.
What was released
According to NVIDIA and follow-up posts, the series includes two BF16 models: Nemotron-3-Embed-1B-BF16 and Nemotron-3-Embed-8B-BF16. The models target sentence similarity and text embedding use cases, with a multilingual focus. @tomaarsen also noted that the models are natively integrated into Sentence Transformers, where users can directly load `nvidia/Nemotron-3-Embed-8B-BF16` for query and document encoding.
Benchmark results and product positioning
NVIDIA said Nemotron-3-Embed-8B-BF16 ranked overall No.1 on RTEB, a benchmark the company described as measuring retrieval accuracy on real-world tasks. A repost by @kimmonismus cited the reported scores as 78.46 average NDCG@10 on RTEB and 75.45 on MMTEB Retrieval. NVIDIA’s framing is that stronger retrieval gives agents more relevant context, which should improve downstream answer accuracy; posts around the release also described the model as well suited to cost-conscious agentic retrieval. On July 18, @nvidia added that the 8B-BF16 model had entered Hugging Face Trending.
Compression and deployment notes
Beyond the headline 8B result, @tomaarsen highlighted an unusual compression pipeline for Nemotron-3-Embed-1B: starting from a 3B parent model, NVIDIA ModelOpt was used for NAS pruning down to 2B, followed by distillation from an 8B teacher using cosine and MSE losses. Separately, in a repost, @soumitrashukla9 focused on the 1B NVFP4 variant, saying the post’s description suggested its footprint could remain manageable in many scenarios even when KV and CUDA overhead were included.
2026-07-17 ~ 2026-07-18 · 11 related posts
- NVIDIA Launches Nemotron 3 Embed 8B — NVIDIAAI · 2026-07-17
- NVIDIA Launches Nemotron-3-Embed — tomaarsen · 2026-07-17
- NVIDIA's New Embedding Models Deliver Massive Score Boosts — tomaarsen · 2026-07-17
- NVIDIA Releases Multilingual Embedding Models — tomaarsen · 2026-07-17
- NVIDIA Releases High-Performance Embedding Model — soumitrashukla9 · 2026-07-17
- NVIDIA Launches Nemotron-3-Embed Series — rohanpaul_ai · 2026-07-17
- New Embedding Model Tops Multilingual RTEB — jeremyjordan · 2026-07-17
- NVIDIA Releases New Retrieval Embedding Model — kimmonismus · 2026-07-17
- [source] NVIDIA Launches Nemotron-3 Embedding Model — nvidia · 2026-07-18