Post by DeepInfra

NVIDIA Nemotron 3 Embed is now available on DeepInfra with Day-0 support. The most accurate embedding model for enterprise search and agentic retrieval. Here's why embeddings matter more than ever: agents depend on retrieval to find the right passage, code block, or document. Miss it, and the agent wastes tokens reasoning from the wrong context. And modern agents retrieve constantly, decomposing tasks, rewriting queries, searching memory, inspecting code. Available in two sizes so you don't have to trade accuracy for scale: Nemotron 3 Embed 8B: frontier retrieval accuracy. Tops the RTEB leaderboard among both open and closed embedding models. Use it where maximum retrieval quality matters. Nemotron 3 Embed 1B: retains more than 95% of the 8B model's accuracy at a fraction of the cost. Built for high-volume production workloads. Available in both BF16 and NVFP4 — the NVFP4 variant is optimized for NVIDIA Blackwell GPUs, delivering up to 2x higher throughput while retaining 99% of BF16 retrieval accuracy. Both models ship with open weights, datasets, and recipes, so you can inspect, tune, and fine-tune for your domain. No black box, no lock-in. Better context, fewer wasted tokens, more grounded AI systems. Available today through DeepInfra OpenAI-compatible API. More in the blog → https://lnkd.in/gpCWmWWM Try models here: 1B BF16 https://lnkd.in/grPugC49 1B FP4 https://lnkd.in/gmApH97z 8B BF16 https://lnkd.in/gZJ-ZaYc #AI #RAG #Embeddings #AgenticAI #NVIDIA #Nemotron #DeepInfra