Open From Data Center to Desktop: NVIDIA Expands Nemotron Family With Highest Efficiency Super VL and Bolt Models

NVIDIA today released Nemotron 3.5 Super VL, an open 120-billion-parameter model that delivers the fastest task completion and highest accuracy for specialized always-on agents.

Joining it are two new edge models: Nemotron 3.5 Bolt 74B-A9B 24GB, optimized to balance intelligence and speed per GB for local agentic workloads, and Nemotron 3.5 Bolt E4B 4GB, optimized for intelligence per GB for fast conversational agents.

Super VL and Bolt 74B-A9B are available now, with Bolt E4B coming Oct. 23. The three open models together cover the full range of agent deployments, from large enterprise servers down to edge devices and local hardware.

Super VL, built in collaboration with the Nemotron Coalition , delivers leading accuracy on multimodal agentic tasks — instruction following, tool use, multistep business workflows, and visual understanding — comparable with NVIDIA’s largest reasoning model at roughly one-fifth the parameter count.

Openness and customizability reinforce each other. The model ships with open weights, open datasets and training recipes.

Nemotron 3.5 Super VL was trained on about 26 trillion tokens across pretraining and continued pretraining, then post-trained with roughly 3.8 million samples and reinforcement learning across dozens of environments.

NVIDIA is also releasing open datasets on Hugging Face spanning agentic tool use , finance, instruction following, long context, fairness and vision-language understanding, along with the reinforcement learning environments in NeMo Gym.

NVIDIA NIM packages the model as a production-ready microservice with performance-optimized, validated configurations and enterprise-grade support, refreshed every two weeks with security patches and performance improvements.

Nemotron 3.5 Bolt 74B-A9B 24G B is available now on Hugging Face, with support for llama.cpp , Ollama , LM Studio , Unsloth , Canonical and vLLM . Built for NVIDIA RTX Spark laptops arriving Oct. 16, it also runs on GeForce RTX PCs , DGX Spark , DGX Station and RTX PRO workstations .

Any organization that wants to run agents on NVIDIA infrastructure now has an open, optimized model for their tier, without having to choose between capability and deployability.

Lightning, released in August, handles high-throughput workloads; Ultra handles the hardest reasoning tasks; and Bolt brings intelligence to the edge.

As the fastest open agentic model in its class — 5x faster than the next best — it helps enterprise agents complete high-volume tasks faster across workflows that span days or weeks.