Nemotron-3.5-Embed-8B-BF16

embed

Nemotron-3.5-Embed-8B-BF16 is a multimodal embedding model from NVIDIA that maps text, images, and page screenshots into a shared 4096-dimensional vector space for visual document retrieval and semantic search. Built on the Nemotron-3-Embed-8B text encoder with a vision encoder, it supports up to 32k tokens and Matryoshka dimensions, and delivers the highest retrieval quality in the Nemotron 3.5 family.

Capabilities

Infrastructure
Streaming

Details

Model IDnvidia/Nemotron-3.5-Embed-8B-BF16
Provider DeepInfra
Creator NVIDIA
Family—
License—
Statusactive
Typeembed
Input modalitiestext, image
Output modalitiesembedding
Open weightYes
Parameters—
Architecture—
Context window—
Max input—
Max output—
Reasoning tokens—
Knowledge cutoff—
Release date
Sourceofficial

Endpoints

EmbeddingsPOST
Generate vector embeddings for texthttps://api.deepinfra.com/v1/openai/v1/embeddings

API

GET/v1/models/deepinfra/nvidia/Nemotron-3.5-Embed-8B-BF16