Open From Data Center to Desktop: NVIDIA Expands Nemotron Family With Highest Efficiency Super VL and Bolt Models
Source: NVIDIA (opens in a new tab) · Kari Briski
Intel Summary
NVIDIA announced the release of open models in its Nemotron family, led by Nemotron 3.5 Super VL, an open 120-billion-parameter model designed for specialized always-on agents. The company also introduced two edge variants: Nemotron 3.5 Bolt 74B-A9B 24GB and Nemotron 3.5 Bolt E4B 4GB, both targeted at local agentic workloads.
Why It Matters
The release provides developers and enterprises with open-weight options ranging from large data center vision-language deployments to constrained edge environments. NVIDIA claims the models optimize task completion speed and accuracy, offering scalable alternatives for hosting agentic architectures on local hardware or cloud infrastructure.
Organizations & Entities
Topics
Related Intelligence
- ReportAlso involving Nvidia
Nvidia's Nemotron 3.5 Super VL is an open model built to run enterprise AI agents nonstop
Nvidia has released Nemotron 3.5 Super VL, an open multimodal foundation model featuring 120 billion parameters designed for continuous enterprise agent workloads. Alongside the flagship model, Nvidia introduced two compact Bolt models configured to run agentic applications on local hardware. The Decoder reports that dozens of organizations are currently fine-tuning the Super VL model, with optimal performance tied to Nvidia hardware infrastructure.
The Decoder - ReportAlso involving Nvidia
Nvidia expands Nemotron LLM family with hyper-efficient models for agentic systems
Nvidia announced an expansion to its Nemotron large language model family, introducing three customizable models including Nemotron 3.5 Super LV for always-on artificial intelligence agents and the edge-focused Nemotron 3.5 Bolt. According to the company, the releases are designed to span agent deployments from large enterprise servers to local edge hardware.
SiliconANGLE - ReportAlso involving Nvidia
Nvidia's Jensen Huang pledges $2 billion for Europe, $250 million in compute for UK safety labs
Nvidia CEO Jensen Huang announced $2 billion in European investments, including equity stakes in French startups Doctolib and Entalpic. As part of the regional push, Nvidia is providing $250 million in compute infrastructure dedicated to AI agent safety and security research in the United Kingdom. Huang also advocated for open-weight models as a primary strategy for Europe to close the competitive artificial intelligence gap.
The Decoder - DevelopmentStableAlso involving Nvidia
Nvidia introduces open-source AI security system
WIRED reports that Nvidia is introducing an open-source AI security system designed as a software tool to prevent autonomous AI agents from escaping containment, following multiple high-profile AI safety incidents. Claims are as reported; this summary makes no determination about accuracy or significance.
6 independent sources