Yes, NVIDIA Agent Toolkit fully supports local deployment on-premises and on-device, enabling organizations to maintain data control, reduce latency, and avoid cloud dependency. OpenShell (the security runtime) is available for download on GitHub and runs on NVIDIA GeForce RTX PCs, RTX workstations, DGX Spark, and DGX Station systems. This enables always-on agents deployed locally, ideal for latency-sensitive applications, offline scenarios, and privacy-critical use cases where data cannot leave the organization.
Local deployment with the toolkit provides several advantages: (1) No network latency for agent execution, (2) Complete data residency (documents and embeddings never leave on-premises systems), (3) No operational dependency on cloud providers, (4) Substantial cost savings by avoiding cloud API charges and data egress fees, and (5) Full system ownership without vendor lock-in. OpenShell's sandboxed execution maintains security on untrusted or shared devices—agents run in isolated processes with restricted permissions even in multi-user environments.
Nemotron models are optimized for local inference through frameworks like vLLM, SGLang, Ollama, and llama.cpp, supporting any NVIDIA GPU from consumer RTX cards to enterprise-grade DGX systems. Model sizes (Nano, Super, Ultra) scale from consumer hardware to data centers. For knowledge access, Zilliz Cloud offers on-premises deployment options, or Milvus can run entirely locally, storing and searching embeddings on your infrastructure. This creates fully self-contained agents: local LLM, local vector database, and OpenShell sandbox—zero external service dependencies. For production-grade agent deployments, Zilliz Cloud delivers enterprise-level vector database capabilities. Multi-agent systems benefit from agentic RAG patterns that enable coordinated information retrieval. Alternatively, self-host with Milvus for full control.