…This integration is challenging because video systems, enterprise knowledge bases, and operational tools are usually siloed. Developers need to capture user intent, retrieve the correct organizational context, generate structured reports, and route…
…NVIDIA is expanding this integration with new tools for building on-device AI characters and gameplay, as announced at Unreal Fest 2026 . This post covers: The new NVIDIA ACE Game Agent SDK…
NVIDIA JetPack NVIDIA JetPack™ is the official software stack for the NVIDIA Jetson™ platform, giving you a comprehensive suite of tools and libraries for building AI-powered edge applications. JetPack 7, the…
…This flexibility lets developers integrate GPU computing into any layer of their software stack to achieve optimal functionality and performance. The CUDA Toolkit , an integral component of the CUDA platform, provides the…
…Tech Blog Extending NeMo Agent Toolkit To Support New Agentic Frameworks NVIDIA NeMo Agent Toolkit Take a technical deep dive to learn how to extend the toolkit by adding integration with an…
…Why code agents outshine tool-calling When discussing AI agents, the most typical use case and approach is tool-calling. The model outputs structured JSON, the game or application parses it, and…
…You can also create Fleet Intelligence reports that detail GPU Fleet information with the current integrity status. These can be downloaded and used with other reporting tools. According to Chuan Li, Chief…
…Through DPF, admins gain intuitive, cloud-native tools for provisioning, managing, and orchestrating services on BlueField DPUs. This seamless integration with existing Kubernetes workflows accelerates time-to-deployment for advanced BlueField-accelerated…
…Key Features Write Once, Run Everywhere CUDA-Q is QPU agnostic and integrates with 75% of publicly available QPUs. Write your code once and run on all qubit modalities. Use Familiar Tools…
…Compilation tooling AutoDeploy integrates with common off-the-shelf tooling for compiling and lowering the model further, such as torch.compile , integration with CUDA Graphs for fixed batch-size decode-only batches…