Nvidia launches enterprise AI agent platform with Adobe, Salesforce, SAP among 17 adopters at GTC 2026

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 monopoly.

The Nvidia CEO unveiled the Agent Toolkit, an open-source platform for building autonomous AI agents, and then rattled off the names of the companies that will use it: Adobe, Salesforce, SAP, ServiceNow, Siemens, CrowdStrike, Atlassian, Cadence, Synopsys, IQVIA, Palantir, Box, Cohesity, Dassault Systèmes, 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 toolkit provides the models, the runtime, the security framework and the optimization libraries that AI agents need to operate autonomously inside organizations — resolving 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.

"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 — open to all, owned by one.

Inside Nvidia's Agent Toolkit: the software stack designed to power every corporate AI worker

To grasp the significance of Monday's announcements, it helps to understand the problem Nvidia is solving.

Building an enterprise AI agent today is an exercise in frustration. A company that wants to deploy an autonomous system — one that can, say, monitor a telecommunications network and proactively resolve customer issues before anyone calls to complain — must assemble a language model, a retrieval system, a security layer, an orchestration framework and a runtime environment, typically from different vendors whose products were never designed to work together.

Nvidia's Agent Toolkit collapses that complexity into a unified platform. It includes 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; and cuOpt, an optimization skill library. Developers can use the toolkit to create specialized AI agents that act autonomously while using and building other software to complete tasks.

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. Nvidia used the AI-Q Blueprint to build what it claims is the top-ranking AI agent on both the DeepResearch Bench and DeepResearch Bench II leaderboards — benchmarks that, if they hold under independent validation, position the toolkit as not merely convenient but competitively necessary.

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 — a calculated move that enlists the cybersecurity industry as a validation layer for Nvidia's approach rather than a competing one.

The partner list that reads like the Fortune 500: who signed on and what they're building

The breadth of Monday's enterprise adoption announcements reveals Nvidia's ambitions more clearly than any specification sheet could.

Adobe, in a simultaneously announced strategic partnership, will adopt Agent Toolkit software as the foundation for running hybrid, long-running creativity, productivity and marketing agents. Shantanu Narayen, Adobe's chair and CEO, 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 to deliver high-quality, controllable and enterprise-grade AI workflows of the future." The partnership extends deep: Adobe will explore OpenShell and Nemotron as foundations for personalized, secure agentic loops, and will evaluate the toolkit for large-scale workflows powered by Adobe Experience Platform. Nvidia will provide engineering expertise, early access to software and targeted go-to-market support.

Salesforce's integration may be the one enterprise IT leaders parse most carefully. The company is working with Nvidia Agent Toolkit software including Nemotron models, enabling 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 — powered by Nvidia infrastructure — that participate directly in business workflows and pull from data stores in both on-premises and cloud environments. For the millions of knowledge workers who already conduct their professional lives inside Slack, this turns a messaging app into the command center for corporate AI.

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, enabling customers and partners to design agents tailored to their own business needs. ServiceNow's Autonomous Workforce of AI Specialists leverage Agent Toolkit software, the AI-Q Blueprint and a combination of closed and open models, including Nemotron and ServiceNow's own Apriel models — a hybrid approach that suggests the toolkit is designed not to replace existing AI investments but to become the connective tissue between them.

From chip design to clinical trials: how agentic AI is reshaping specialized industries

The partner list extends well beyond horizontal software platforms into deeply specialized verticals where autonomous agents could compress timelines measured in years.

In semiconductor design — where a single advanced chip can cost billions of dollars and take half a decade to develop — three of the four major electronic design automation companies are building agents on Nvidia's stack. Cadence will leverage Agent Toolkit and Nemotron with its ChipStack AI SuperAgent for semiconductor design and verification. Siemens is launching its Fuse EDA AI Agent, which uses Nemotron to autonomously orchestrate workflows across its entire electronic design automation portfolio, from design conception through manufacturing sign-off. Synopsys is building a multi-agent framework powered by its AgentEngineer technology using Nemotron and Nemo Agent Toolkit.

Healthcare and life sciences present perhaps the most consequential use case. IQVIA is integrating Nemotron and other Agent Toolkit software with IQVIA.ai, a unified agentic AI platform designed to help life sciences organizations work more efficiently across clinical, commercial and real-world operations. The scale is already significant: IQVIA has deployed more than 150 agents across internal teams and client environments, including 19 of the top 20 pharmaceutical companies.

The security sector is emb