If SLMs have clear advantages, why do most agents still rely so heavily on LLMs? We hypothesize that the barriers are perception-based or caused by organizational culture rather than technical limitations. Shifting to SLM-enabled architectures requires an intentional mindset change. SLM research uses generalist benchmarks, even though agentic workloads demand different evaluation metrics. Plus, LLMs often dominate the headlines. As the cost savings and reliability of SLM-enabled systems become undeniable, momentum will shift. The transition could mirror past shifts in computing, such as the mo
How Small Language Models Are Key to Scalable Agentic AI | NVIDIA Technical Blog… Enterprises looking to control costs, improve efficiency, and scale responsibly can begin experimenting with heterogeneous systems today. Conclusion: the heterogeneous system advantage The demand for agentic AI systems is rapidly evolving. …
… You can extend it with additional agent skills and orchestration patterns to better suit your production enterprise workloads. The architecture diagram below shows an extensible pattern for adding enterprise-grade coordination, governance, reliability, and robustness around the core agent workflow. …
… To learn more, watch the related GTC 2026 session and training lab on demand: Evaluation-Driven Development: Best Practices for Building Reliable Agents GTC session Develop Production Agents with Eval-Driven Design GTC training lab Discuss 0 Discuss 0 Tags Agentic AI / Generative AI | Developer Too… …
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… 11 MIN READ Apr 29, 2026 Powering AI Factories with NVIDIA Enterprise Reference Architectures The next wave of enterprise productivity is being built on AI factories. …
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… Ultra is designed for applications demanding the highest reasoning accuracy for complex agentic tasks. …