Driven by rapidly growing demand for autonomous AI agents, NVIDIA has launched DGX Spark, a platform designed specifically for local deployment of AI agents, introducing major updates at Computex 2026 that significantly lower the barrier for developers going from unboxing to running local agents. NemoClaw is an open-source blueprint that integrates open models, agent runtime frameworks such as OpenClaw, and NVIDIA's OpenShell secure sandbox runtime into a single installer. OpenShell provides access control, privacy protection, and operational guardrails for autonomous agents, enhancing default security capabilities alongside local inference. The installation process has been streamlined to a single command, completing Node.js setup, OpenShell deployment, NemoClaw cloning, and sandbox creation. The installer automatically configures local Ollama and downloads the Qwen3.6-35B model. Once installed, developers can interact with the agent via Web UI or channels like Telegram. NemoClaw includes four pre-configured out-of-the-box agent templates covering daily office tasks and development scenarios: Daily News Summary, Software Development Assistant, Document Reviewer, and Calendar Coordinator. In terms of performance, under vLLM engine support combined with NVFP4 quantization and MTP optimization, inference speed for Qwen3.6-35B improves up to 2.6 times. For teams requiring greater compute power, the cluster assistant built into NVIDIA Sync enables connecting two to four DGX Spark systems into a cluster. A dual-node configuration offers 256 GB unified memory capable of running approximately trillion-parameter models, while a quad-node setup reaches 512 GB, effectively breaking through single-machine VRAM limitations.