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Personal agents are exploding in popularity, with open source projects like OpenClaw and Hermes seeing rapid adoption by AI

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Performance gains shown with latest NVIDIA optimizations to llama.cpp: Qwen3.6-27B delivers up to 2x throughput and Qwen3.6-35B up to 1.6x on GeForce RTX 5090, accelerating local agentic AI workloads through open source community collaboration.

Today at NVIDIA GTC Taipei at COMPUTEX, NVIDIA unveiled NVIDIA RTX Spark, a new class of Windows PCs purpose-built for personal agents, alongside a wave of updates that expand local agents across the broader NVIDIA RTX and DGX ecosystems.

Key facts

Summary

Personal agents are exploding in popularity, with open source projects like OpenClaw and Hermes seeing rapid adoption by AI developer communities on GitHub. Running agents securely and privately requires hardware that’s up to the task. The NVIDIA OpenShell runtime is coming to Windows, built on Microsoft’s new security primitives for agents, providing developers an easy-to-deploy package for secure, on-device agents. The NVIDIA NemoClaw blueprint is expanding across NVIDIA’s full local AI lineup, GeForce RTX, RTX PRO, RTX and DGX Spark, and DGX Station, with new streamlined installers and support for Hermes Agent.

Read full article at NVIDIA Blog →

#Microsoft #Nvidia #Llama #AI Agent #GitHub