Key Takeaways:
NVIDIA's Nemotron 3 Ultra, paired with LangChain's Deep Agents harness, delivers benchmark-leading performance at $4.48 per task — roughly one-tenth the inference cost of the nearest competing model.
NVIDIA and LangChain released an open-source agent blueprint that cuts inference costs by more than 10x, giving enterprises a path to deploy custom AI agents at $4.48 per task versus $43.48 for the closest rival.
"The way to build better agents is to keep improving the system around the model," Harrison Chase, co-founder and CEO of LangChain, said. "Memory, tool use, evaluation, and model behavior compound when teams can tune them together."
The NemoClaw blueprint combines three layers: NVIDIA's open-weight Nemotron 3 Ultra model, LangChain's Deep Agents harness for planning and tool use, and NVIDIA's OpenShell runtime for governed deployment. In LangChain's agent evaluation suite, the stack scored 0.86 on aggregate performance. The next-best model cost $43.48 for comparable output, making Nemotron 3 Ultra roughly 10x cheaper on inference. The results reflect harness customizations — LangChain tuned how the agent uses tools, manages context, and evaluates intermediate steps specifically for Nemotron.
Lower inference costs make it practical to run specialized agents across domains like finance, healthcare, and supply chain, where each task previously cost too much to deploy at scale. For NVIDIA, the blueprint extends its software reach beyond GPU sales into the agent-development layer, a market that could determine how enterprises build and own their AI systems.
How the Blueprint Stacks Up
The NemoClaw architecture is designed for enterprises that want to own their agent systems rather than rent them from closed providers. NVIDIA Nemotron 3 Ultra provides the open-weight model layer, letting teams customize behavior for their domains. LangChain Deep Agents handles long-running tasks — planning, tool use, memory, and execution — with a harness profile tuned for Nemotron. NVIDIA OpenShell wraps the runtime in security and governance controls, helping teams manage how agents interact with tools, systems, and data.
"Super agents have arrived," Jensen Huang, founder and CEO of NVIDIA, said. "With an open model like NVIDIA Nemotron, a LangChain harness, the NVIDIA OpenShell runtime, and a company's own data, every enterprise can build custom agents that understand its business, use its tools, and turn knowledge into action."
Ecosystem and Competitive Implications
The blueprint has drawn support from across the AI infrastructure ecosystem. EY is building an implementation practice around the stack for regulated industries. Baseten, Fireworks, Nebius, Crusoe, DeepInfra, and Together AI are optimizing Nemotron model serving for production workloads.
"EY clients in regulated industries are ready to move agentic AI out of isolated pilots and into production and are often constrained by governance, security, and the ability to prove control to a regulator or a board," Geoff Vickrey, global chief commercial officer for NVIDIA at EY, said. Open architectures give enterprises "transparency into how agents operate, control over where data and inference run, and the freedom to deploy on their own terms."
The cost advantage pressures closed-model providers such as OpenAI and Anthropic, whose proprietary agent systems carry higher per-task inference costs. If enterprises can match or exceed closed-model performance with an open stack at one-tenth the cost, the economics favor customization and ownership over subscription-based AI agents.
Investor Takeaway
NVIDIA shares trade at roughly 22x forward earnings, near their cheapest valuation since before the AI boom began. The NemoClaw blueprint reinforces NVIDIA's move up the stack from hardware into full-stack AI infrastructure — models, orchestration, and deployment tooling — potentially expanding its addressable market beyond GPU sales into recurring software revenue. LangChain, with more than 7,000 customers including Bridgewater, LinkedIn, and Workday, provides the distribution channel. The blueprint is available now for enterprise evaluation.
This article is for informational purposes only and does not constitute investment advice.
