NVIDIA Nemotron 3.5 Lightning and NeMo Switchyard Deliver Faster, Smarter, More Efficient Agentic AI
15:00 · August 11, 2026 · NVIDIA
As AI shifts from chatbots to autonomous agents, open models are serving market demands for full control over where AI runs and how it’s deployed and evolves. Today, NVIDIA is expanding its Nemotron 3 model family with Nemotron 3.5 Lightning, the highest-efficiency model in its class for long-running agentic AI workloads. This release follows Nemotron […]
Summary
NVIDIA has expanded its Nemotron 3 family with Nemotron 3.5 Lightning, a 30-billion-parameter mixture-of-experts model positioned as the highest-efficiency option for long-running agentic workloads. Designed for specialized tasks inside larger multi-agent systems, the model targets high-volume operations such as code review, tool use, security monitoring and domain-specific queries, while a larger frontier model handles orchestration. It delivers up to four times faster output than comparable models and completes agentic tasks roughly 30 percent quicker, and it can be post-trained on proprietary data using NVIDIA NeMo to raise accuracy for particular workflows.
Alongside the model, NVIDIA released NeMo Switchyard, an open-source routing library that integrates with common agent frameworks. The library automatically directs each prompt to the most suitable model—whether open, proprietary or NVIDIA—according to user-defined priorities for quality, latency or cost. Internal benchmarks indicate that Switchyard preserves frontier-level accuracy while cutting task-completion cost to about one-third that of a single high-end model used alone. Because routing occurs without changes to application code, organizations can combine models from different sources and adjust algorithms as requirements evolve.
Both components support flexible deployment. Nemotron 3.5 Lightning runs locally on NVIDIA RTX PCs, DGX systems, Jetson devices or on-premises infrastructure, giving enterprises direct control over data residency and existing hardware investments. It is also available through cloud partners and as an NVIDIA NIM microservice. The model and its associated agentic reinforcement-learning dataset are distributed via Hugging Face, ModelScope and build.nvidia.com, while NeMo Switchyard is hosted on GitHub.
Why it matters
This update introduces cost-effective, privacy-preserving open AI models and routing tools from a major industry player. It aligns perfectly with the Dutch market's focus on efficient SME AI adoption and EU data sovereignty by enabling local, optimized AI deployments.
