Editorial illustration for NVIDIA and ServiceNow launch autonomous AI agents using Blackwell
NVIDIA and ServiceNow launch autonomous AI agents using...
The math is brutal. For every million workflows an enterprise runs, the cost of inference has been a silent tax on ambition, a bottleneck that kept AI agents in the sandbox, not on the factory floor. That equation just flipped.
NVIDIA’s Blackwell platform doesn’t just improve efficiency; it rewrites the economics, delivering over 50x more token output per watt than its predecessor. The result? A nearly 35x drop in cost per million tokens.
For companies scaling agents across millions of operations, that’s the difference between a pilot project and a production reality. But raw power without control is chaos. ServiceNow’s AI Control Tower, now integrated with NVIDIA’s Enterprise AI Factory, brings the missing piece: governance.
Real-time observability. Lifecycle management. This isn’t just about running faster, it’s about running smarter.
As AI becomes the new way work gets done, the partnership between NVIDIA and ServiceNow doesn’t just push the frontier. It builds the guardrails.
The nvidia.com/en-us/data-center/technologies/blackwell-architecture/" target="_blank">NVIDIA Blackwell platform delivers more than 50x greater token output per watt than NVIDIA Hopper, resulting in nearly 35x lower cost per million tokens. For enterprises running agents across millions of workflows, that efficiency can determine how quickly AI moves from pilots to broad production use.ServiceNow AI Control Tower integrates with the NVIDIA Enterprise AI Factory validated design, extending governance and observability to large-scale AI workloads. With added agent observability capabilities, organizations can monitor behavior in real time and manage AI systems across their full lifecycle -- from deployment to optimization.AI is becoming a new way that work gets done.
Efficiency alone doesn’t scale. Not without trust, not without oversight. That’s the real promise of this partnership: speed paired with guardrails, performance matched with visibility.
The Blackwell platform makes the economics of AI agents viable at industrial scale. The AI Control Tower makes them manageable. Together, they remove the friction between pilot and production.
For enterprises, the path forward is no longer about building smarter models in isolation. It’s about deploying them responsibly, observing their behavior in real time, and optimizing across millions of workflows. AI is becoming a new way that work gets done.
Now it has the infrastructure to be done right.
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Common Questions Answered
How does NVIDIA's Blackwell platform improve the economics of AI agent deployment?
NVIDIA's Blackwell platform delivers over 50x more token output per unit of cost, fundamentally changing the inference economics that previously acted as a bottleneck for enterprise AI agents. This efficiency improvement makes it economically viable to deploy autonomous AI agents at industrial scale, removing the cost barriers that previously kept AI solutions confined to pilot projects rather than production environments.
What is the AI Control Tower and how does it complement Blackwell?
The AI Control Tower provides trust, oversight, and visibility for AI agent operations, serving as the management layer that pairs with Blackwell's performance capabilities. Together, they create a complete solution that combines speed and efficiency with necessary guardrails and monitoring, enabling enterprises to move AI agents from pilot testing directly into production with confidence.
Why is the NVIDIA and ServiceNow partnership significant for enterprise workflows?
The partnership addresses the critical challenge of scaling autonomous AI agents across millions of enterprise workflows by combining Blackwell's cost-efficient inference with ServiceNow's AI Control Tower for management and oversight. This removes the friction between pilot projects and production deployment, allowing enterprises to deploy AI agents at scale while maintaining proper governance and visibility across their operations.
What problem does Blackwell solve regarding AI agent deployment costs?
Previously, the high cost of inference per workflow acted as a silent tax on enterprise ambition, keeping AI agents from moving beyond sandbox environments into actual production use. Blackwell's 50x improvement in token output efficiency fundamentally changes this equation, making it economically feasible to run autonomous AI agents on factory floors and across large-scale enterprise operations.
Further Reading
- NVIDIA GTC 2026: Governing the Autonomous Workforce — ServiceNow Newsroom
- ServiceNow partners with NVIDIA to co-develop native AI Agents — ServiceNow
- Building Autonomous AI at Scale with NVIDIA - ServiceNow Blog — ServiceNow Blog
- NVIDIA at ServiceNow Knowledge | May 5–7, 2026 — NVIDIA
