Jensen Huang walked onto the GTC stage Monday wearing his trademark leather jacket and carrying, as it turned out, the blueprints for a new kind of industry dominance. The Nvidia CEO unveiled the Agent Toolkit??n open-source platform for building autonomous AI agents??nd then rattled off the names of the companies that would use it: Adobe, Salesforce, SAP, ServiceNow, Siemens, CrowdStrike, Atlassian, Cadence, Synopsys, IQVIA, Palantir, Box, Cohesity, Dassault Syst?mes, Red Hat, Cisco, and Amdocs.
Seventeen enterprise software companies, touching virtually every industry and every Fortune 500 corporation, all agreeing to build their next generation of AI products on a shared foundation that Nvidia designed, Nvidia optimizes, and Nvidia maintains.
The Enterprise Software Industry’s Next Transformation
“The enterprise software industry will evolve into specialized agentic platforms,” Huang told the crowd. “And the IT industry is on the brink of its next great expansion.” What he left unsaid is that Nvidia has just positioned itself as the tollbooth at the entrance to that expansion??pen to all, owned by one.
The toolkit provides the models, the runtime, the security framework, and the optimization libraries that AI agents need to operate autonomously inside organizations??esolving customer service tickets, designing semiconductors, managing clinical trials, orchestrating marketing campaigns. Each component is open source. Each is optimized for Nvidia hardware. The combination means that as AI agents proliferate across the corporate world, they will generate demand for Nvidia GPUs not because companies choose to buy them but because the software they depend on was engineered to require them.
Inside Nvidia’s Agent Toolkit: The Complete Stack
The Agent Toolkit includes several key components:
- Nemotron: A family of open models optimized for agentic reasoning
- AI-Q: An open blueprint that lets agents perceive, reason, and act on enterprise knowledge
- OpenShell: An open-source runtime enforcing policy-based security, network, and privacy guardrails
- cuOpt: An optimization skill library for complex scheduling and routing problems
The AI-Q component addresses a pain point that has dogged enterprise AI adoption: cost. Its hybrid architecture routes complex orchestration tasks to frontier models while delegating research tasks to Nemotron’s open models, which Nvidia says can cut query costs by more than 50 percent while maintaining top-tier accuracy.
The Partners: What They’re Building
Adobe announced a strategic partnership to adopt Agent Toolkit software as the foundation for running hybrid, long-running creativity, productivity, and marketing agents. CEO Shantanu Narayen said the companies will bring together “our Firefly models, CUDA libraries into our applications, 3D digital twins for marketing, and Agent Toolkit and Nemotron to our agentic frameworks.”
Salesforce is working with Nvidia to enable customers to build, customize, and deploy AI agents using Agentforce for service, sales, and marketing. The collaboration introduces a reference architecture where employees can use Slack as the primary conversational interface and orchestration layer for Agentforce agents??owered by Nvidia infrastructure??hat participate directly in business workflows.
SAP, whose software underpins the financial and operational plumbing of most Global 2000 companies, is using open Agent Toolkit software including NeMo for enabling AI agents through Joule Studio on SAP Business Technology Platform.
Semiconductors, Healthcare, and Beyond
The partner list extends into deeply specialized verticals where autonomous agents could compress timelines measured in years.
In semiconductor design??here a single advanced chip can cost billions of dollars and take half a decade to develop??hree of the four major electronic design automation companies are building agents on Nvidia’s stack. Cadence is leveraging the toolkit with its ChipStack AI SuperAgent for semiconductor design and verification. Siemens is launching its Fuse EDA AI Agent to autonomously orchestrate workflows across its entire electronic design automation portfolio. Synopsys is building a multi-agent framework powered by its AgentEngineer technology.
In healthcare, IQVIA is integrating Nemotron and other Agent Toolkit software with IQVIA.ai to accelerate clinical development, bringing AI-powered automation to a domain where regulatory complexity has historically slowed adoption.
OpenShell: The Security Layer That Makes Enterprise Adoption Possible
OpenShell tackles what has been the single biggest obstacle in every boardroom conversation about letting AI agents loose inside corporate systems: trust. The runtime creates isolated sandboxes that enforce strict policies around data access, network reach, and privacy boundaries.
Nvidia is collaborating with Cisco, CrowdStrike, Google, Microsoft Security, and TrendAI to integrate OpenShell with their existing security tools?? calculated move that enlists the cybersecurity industry as a validation layer rather than a competing one.
The Strategic Masterstroke
By open-sourcing the toolkit, Nvidia achieves something remarkable: it makes itself indispensable to every enterprise AI deployment while simultaneously driving demand for its hardware. Companies that build on Agent Toolkit will need Nvidia-optimized infrastructure to run it efficiently. Companies that want to customize Nemotron for their specific needs will need Nvidia’s CUDA ecosystem.
The result is a self-reinforcing cycle where open-source adoption begets hardware sales, which begets more open-source adoption. Jensen Huang has not just announced a product??e has defined the architecture of the next decade of enterprise computing.