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Last updated
Jan 19, 2026
Knowledge cutoff
2025-04
Input modalities
Output modalities
Capabilities
202,752 tokens
Recent tweets and retweets from Deep Infra
1B BF16
deepinfra.com/nvidia/Nemotro…
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nvidia/Nemotron-3-Embed-1B-BF16 - Demo - DeepInfra
Nemotron-3-Embed-1B-BF16 is a compact multilingual text embedding model from NVIDIA, pruned and distilled from Ministral-3 to ~1B parameters, that maps text into 2048-dimensional…
1B NVFP4
deepinfra.com/nvidia/Nemotro…
Link
nvidia/Nemotron-3-Embed-1B-NVFP4 - Demo - DeepInfra
Nemotron-3-Embed-1B-NVFP4 is the NVFP4-quantized version of Nemotron-3-Embed-1B-BF16 — a multilingual text embedding model from NVIDIA that maps text into 2048-dimensional dense…
8B Frontier Accuracy deepinfra.com/nvidia/Nemotro…
Link
nvidia/Nemotron-3-Embed-8B - Demo - DeepInfra
Nemotron-3-Embed-8B is a multilingual text embedding model from NVIDIA, based on Ministral-3-8B, that maps text into 4096-dimensional dense vectors for retrieval and…
Retrieval is where AI agents live or die. Miss the right context and the agent reasons from the wrong place.
@nvidia Nemotron 3 Embed is now on DeepInfra with Day-0 support, - the leading, embedding model for enterprise search. RAG, and agentic retrieval. Tops the RTEB…
Big milestone for DeepInfra 📷
We've opened our first international #datacenter in Toronto!
The new facility will host 1,000+ NVIDIA Blackwell B300 GPUs, expanding our production-scale AI inference capacity while bringing lower-latency infrastructure closer to customers.
As…
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