
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
- Reviewer tests 'RTX 4080M' desktop graphics card powered by salvaged laptop silicon — performs worse than slightly more expensive RX 9070 GRE but draws only 100
- Dev ports Linux to Atari's notorious Jaguar console from 1993 — the first 64-bit console features 2MB of RAM, 13.3 MHz CPU, and Tom and Jerry co-processors; the
- Working prototype of open-source printer that promises user-repairability and no subscriptions appears in first video — DRM-free 'Open Printer' inkjet still has
- Joyride Through July With 12 Games Coming to GeForce NOW
- NVIDIA Unlocks AI Compute at Scale, Inviting Partners to Power the AI Infrastructure Buildout
Informational only. No financial advice. Do your own research.