Editor’s note: This post is part of the Nemotron Labs blog series, which explores how the latest open models, datasets and training techniques help businesses build specialized AI systems and applications on NVIDIA platforms. Each post highlights practical ways to use an open stack to deliver real value in production — from transparent research copilots to scalable AI agents.
Companies are asking how to build specialized AI that fits with the way their workflows actually run.
The first wave of enterprise AI was about access. Companies experimented with new frontier and open models, ran pilots and explored how AI can help.
Now, specialized agents — systems of models that can reason, use tools and take action even for the most complex workflows — put more useful AI within reach of the people who already know the work best.
Agents are already helping life sciences researchers accelerate medicine discovery, security teams investigate vulnerabilities with more context and operations teams seamlessly coordinate supply chains.
To tap into these specialized agents, businesses are using a foundation they can adapt and own: one built on models they can customize, tools that connect to systems they already use and infrastructure that lets agents operate safely at scale.
NVIDIA Agent Toolkit — comprising models, tools, skills and a secure runtime — provides an open, modular foundation for building safer, faster, lower-cost digital AI coworkers that enterprises and developers can customize, specialize, control and trust.
Enterprises and developers building secure, specialized AI agents require:
Key considerations
- Investor positioning can change fast
- Volatility remains possible near catalysts
- Macro rates and liquidity can dominate flows
Reference reading
- https://blogs.nvidia.com/blog/nvidia-agent-toolkit-open-models-tools-skills-secure-runtime-ai-agents/#primary
- https://blogs.nvidia.com/blog/author/justin-boitano/
- https://blogs.nvidia.com/blog/nvidia-agent-toolkit-open-models-tools-skills-secure-runtime-ai-agents/#disqus_thread
- IBM goes sub-1nm, develops 0.7nm-class technology — offering up to 50% higher performance and 70% higher energy efficiency compared to IBM's 2nm-class node
- Steam Machine scalping hits $3,000 on eBay as sellers list preorder reservations — scalpers already flipping queues for 2X the MSRP of the 2TB model
- AMD engineer 3D-prints Steam Machine-a-like with diagonal mobo mounting — parts include a Mini ITX motherboard, RTX 5060, and a flex ATX PSU
- Rosewill’s M.2 SSD Cloner and Eraser drops to its lowest-ever price of $47 — become an IT hero, or just save yourself some time and frustration
- Meta Quest 3S drops to pre-RAMpocalypse prices for a Prime Day — wireless VR headset goes on sale for a limited time, get 15% off and save more than $50 if you
Informational only. No financial advice. Do your own research.