NVIDIA announces open models for language, robotics, biology and quantum
Original title: NVIDIA Open Models Advance Europe’s Sovereign Intelligence Across Industries
The portfolio adds Nemotron 3.5, Kumo, Cosmos 3.5, Alpamayo 2 Edge, BioNeMo RFD4-Proteina and Ising.
NVIDIA said it is expanding open models across language, robotics, biology and quantum so organizations can customize them with local data and run them on infrastructure they control. New releases include Nemotron 3.5 Super VL and Bolt, retriever models, the Kumo family for structured business data, Cosmos 3.5, Alpamayo 2 Edge, BioNeMo RFD4-Proteina and Ising. Named customers and partners are already using pieces of the portfolio for agents, forecasting, robotics data and quantum calibration.
Unconfirmed: Speed and benchmark claims, including the 13x protein-design figure, come from NVIDIA.
- Nemotron 3.5 Super VL and Bolt join new embedding, reranking and document-parsing retrievers.
- Kumo Structured targets relational and tabular prediction, forecasting and anomaly detection.
- NVIDIA says RFD4-Proteina is about 13x faster than RFdiffusion3 on 200-amino-acid proteins.
- Alpamayo 2 Edge is built for the NVIDIA DRIVE AGX Thor vehicle platform.
- IQM is using Ising to calibrate quantum processors, NVIDIA says.
From the original article
5 min read at blogs.nvidia.com
NVIDIA is expanding its family of open models across language, robotics, biology, and quantum computing, giving developers, researchers and enterprises what they need to build applications tailored to local languages and industries The portfolio includes the new NVIDIA Nemotron 3. 5 Super VL and Nemotron 3. 5 Bolt models; new NVIDIA Nemotron Retriever models for embedding, reranking […]
By Kari Briski · blogs.nvidia.com
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