Using the toolkit for this specific use case provides multiple benefits: Config-driven workflows The toolkit helps shift the project from a rigid script to a flexible research platform. Instead of hard-coding the interactions between agents, you define the system’s logic—including personas, tools, and constraints—entirely within a YAML configuration. This modularity makes it trivial to swap models for different tasks. For example, you can assign a high-reasoning model to handle hypothesis generation while using a faster, more cost-effective model for the code agent without modifying the underl
Automating and Optimizing Financial Signal Discovery with Multi-Agent Systems | NVIDIA Technical Blog…NVIDIA ALCHEMI (AI Lab for Chemistry and Materials Innovation) helps to address these challenges by accelerating chemicals and materials discovery with AI. We have previously announced two components of the ALCHEMI portfolio…
Agentic AI / Generative AI DynoSim: Simulating the Pareto Frontier May 29, 2026 By Yongming Ding , Rudy Pei , Hongkuan Zhou , Ryan Olson , Alec Flowers and Vikram Sharma Mailthody Discuss (0) Discuss (0) L…
…Sam’s experience spans the full AI stack: he maintains core toolkit architecture, builds and evaluates specialized industry agents, and designs intuitive front-end interfaces that bring these powerful AI systems to…
…Learn more AI companions in games have long been constrained by fixed dialogue. PUBG Ally is a different kind of system. Built by KRAFTON for PUBG: BATTLEGROUNDS , this AI teammate is powered…
Agentic AI / Generative AI NVIDIA Nemotron 3 Nano Omni Powers Multimodal Agent Reasoning in a Single Efficient Open Model Simplify pipelines and improve multimodal reasoning accuracy with NVIDIA Nemotron 3 Nano Omni…
…Learn more While consumer AI offers powerful capabilities, workplace tools often suffer from disjointed data and limited context. Built with LangChain , the NVIDIA AI-Q blueprint is an open source template that…
…The autotuner will discover optimal tile sizes and occupancy settings for each target architecture automatically, enabling transparent performance portability without any manual configuration. Get started with NVIDIA DGX Spark As AI systems…
…NetQ, NMX, Run:ai, NIM. Tool selection from the framework Redfish/IPMI on every node for fans, PSU, chassis, and BMC state. DCGM on every GPU node for utilization, power, temperature, XID…
…Instead of just calling a function, an AI agent can create the function and the code to support it. This makes the machine more powerful with less processing. There is, however, a…
…AI-Q is now validated on Dell AI Factory. For teams running on Dell infrastructure, the Dell-NVIDIA AI-Q 2.0 Reference Architecture , powered by the Dell AI Data Platform, packages…