Always-on agents are transforming enterprise workflows: researching, deciding, and acting continuously across multi-step processes with minimal human intervention. These agents gather context, observe their environment, reason, and act. Every step relies on a language model. Yet not every step requires the same model. Complex reasoning benefits from frontier capability, while high-volume specialized tasks are best served by efficient, domain-optimized models.
This reality points to a systems-of-models approach. NVIDIA Nemotron 3.5 Lightning, paired with intelligent routing, such as the algorithms included in the newly announced NVIDIA NeMo Switchyard open source routing library, and delivered on Supermicro's NVIDIA-optimized platforms, gives enterprises the control, efficiency, and seamless experience needed to scale agentic AI from pilot to production.
Many models claim to be "open." Nemotron 3.5 Lightning goes further. It is a fully customizable open model distilled from NVIDIA's frontier-tier model Nemotron 3 Ultra, trained with open datasets, and designed so enterprises can truly own their AI stack.
Model Control and Ownership: Organizations can control the model, fine-tune, or post-train it for specialized enterprise domains, manage behavior and data handling, and deploy it wherever agents run - edge, local systems, data center, or cloud - without vendor lock-in.
Highest Accuracy for Specialized Tasks: Trained for popular agent harnesses, NVIDIA Nemotron 3.5 Lightning delivers leading out-of-the-box accuracy for coding, tool calling, instruction following, and multi-turn workflows. Enterprises can further customize it to achieve the highest accuracy in their specific agentic tasks.
Privacy and Governance: By running the model under enterprise control, organizations retain full visibility into data flows and model decisions, critical for regulated industries and sovereign AI initiatives.
This combination of open weights, open training data, and unrestricted post-training capability is what turns an efficient model into a strategic enterprise asset.
Nemotron 3.5 Lightning is a 30B hybrid Mixture-of-Experts (MoE) model with only 3B active parameters per query. This architecture, combined with multi-token prediction and support for context lengths up to 1M tokens, delivers exceptional token efficiency and throughput.
Fastest Task Completion: Up to 4x higher throughput versus comparable models enables agents to complete specialized tasks faster, whether running as sub-agents or long-running personal assistants.
Deployment Flexibility: The model runs efficiently across a wide range of platforms, from NVIDIA Jetson and NVIDIA RTX PRO workstation systems to RTX PRO Servers, NVIDIA DGX Station, and larger data-center clusters, giving enterprises maximum choice and control.
Systems of Models: With NeMo Switchyard, every query or workflow step can be intelligently routed to the best available model: frontier reasoning models for complex steps and efficient specialized models such as Nemotron 3.5 Lightning for high-volume work, optimizing both accuracy and cost.
The result is higher overall system accuracy, better efficiency, and lower latency across multi-step agentic workflows.
Hardware alone is not enough. Enterprises need systems that are validated, optimized, and tightly integrated with the complete NVIDIA AI software stack, including NVIDIA AI Enterprise, NeMo, NVIDIA NIM microservices, and agent frameworks. Supermicro's long-standing collaboration with NVIDIA delivers exactly that.
Supermicro NVIDIA-Certified Systems are fully tested for performance, reliability, and compatibility with the NVIDIA software ecosystem. This reduces integration risk and accelerates time-to-value for agentic AI deployments.
Supermicro offers a broad portfolio of systems optimized for the NVIDIA RTX PRO 6000 and RTX PRO 4500 Blackwell Server Edition GPUs. These multi-workload accelerators bring data-center-grade AI performance to enterprise environments for inference, fine-tuning, RAG, agent orchestration, and visual computing.
Key advantages include:
These systems make it straightforward to deploy Nemotron 3.5 Lightning alongside other models in a systems-of-models architecture, with the performance and reliability enterprises require.
Supermicro's Super AI Station, based on NVIDIA DGX Station reference architecture, is a definitive local AI development and agentic AI platform for enterprise teams. Powered by the NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip, the same architecture used in large-scale AI factories, it delivers approximately 20 PFLOPS of FP4 AI performance and 748 GB of coherent memory in a quiet, liquid-cooled deskside or 5U rack-mountable form factor.
It is purpose-built for:
Super AI Station brings the full power of the NVIDIA software stack and high-efficiency models like Nemotron 3.5 Lightning directly to the developer's desk or the edge of the enterprise network.
Nemotron 3.5 Lightning represents a new class of efficient, truly open models purpose-built for the specialized, high-volume steps that dominate agentic workflows. When combined with intelligent routing and deployed on Supermicro platforms that fully leverage the NVIDIA software stack, enterprises gain a practical path to production agentic AI.
Whether running always-on personal agents on a Super AI Station, powering cybersecurity or telecom agents on RTX PRO Blackwell servers, or scaling to hybrid AI factories, the combination of model control, computational efficiency, and seamless full-stack integration removes traditional barriers to adoption.
Beyond individual systems, Supermicro provides the operational advantages that accelerate adoption:
Supermicro and NVIDIA continue to collaborate so that enterprises can focus on building value with agentic AI rather than wrestling with infrastructure complexity.
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