AI is expanding beyond the data center as developers build a new generation of agents to act at the edge: monitoring driver attention and cabin conditions, helping robots understand their surroundings and plan tasks, and coordinating fleets of machines on production lines. These physical AI applications rely on models that perceive, reason, and act within tight memory, power, and latency budgets. But getting a model ready to run can involve substantial setup.
Official announcementNVIDIA Developer Blog
Run AI Models for Edge Application Development with Just a Few Commands
From the official release
NVIDIA DGX Spark, now available in a 64GB configuration, gives embedded developers a platform to prototype, fine-tune, and test models and agents. NVIDIA TensorRT Edge-LLM provides a lightweight C++ inference runtime designed for embedded workloads, bringing the same inference framework to development on Spark and deployment on platforms such as NVIDIA Jetson Thor, NVIDIA DRIVE AGX Thor, and NVIDIA IGX Thor.
This is a short excerpt. Read the full announcement on the official source.
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