SLMs are well-positioned for the agentic era because they use a narrow slice of LLM functionality for any single language model errand. LLMs are built to be powerful generalists, but most agents use only a very narrow subset of their capabilities. They typically parse commands, generate structured outputs such as JSON for tool calls, or produce summaries and answer contextualized questions. These tasks are repetitive (up to the differences in prompt payloads), predictable, and highly specialized—well within the scope of specialized SLMs. An LLM trained to handle open-domain conversations is o
How Small Language Models Are Key to Scalable Agentic AI | NVIDIA Technical Blog… As explained in this post, the latest TensorRT Edge-LLM release delivers a significant expansion in fundamental capabilities for NVIDIA DRIVE AGX Thor and NVIDIA Jetson Thor platforms. …
… SLMs are well-positioned for the agentic era because they use a narrow slice of LLM functionality for any single language model errand. LLMs are built to be powerful generalists, but most agents use only a very narrow subset of their capabilities. …
… The automotive AI box allows automakers to augment any vehicle with powerful Agentic AI capabilities. By adding the class leading LLM inference capabilities of DRIVE AGX, automakers can bring modern AI cockpit experiences to their cars without needing to redesign their existing IVI systems. …
… The following configuration shows both: functions: shallow research agent: type: shallow research agent llm: nemotron llm tools: - web search tool max llm turns: 10 max tool calls: 5 deep research agent: type: deep research agent orchestrator llm: gpt-5 planner llm: nemotron llm researcher llm: nem… …
… 9 MIN READ Jan 08, 2026 Accelerating LLM and VLM Inference for Automotive and Robotics with NVIDIA TensorRT Edge-LLM Large language models LLMs and multimodal reasoning systems are rapidly expanding beyond the data center. …
… Discuss 0 Discuss 0 Tags Agentic AI / Generative AI | Developer Tools & Techniques | MLOps | General | Blackwell | TensorRT | TensorRT-LLM | Intermediate Technical | Tutorial | AI Inference | featured | Inference Performance | LLMs | PyTorch About the Authors About Lucas Liebenwein Lucas Lieben… …