In the AI era, staying competitive financially is no longer just about sheer demand. It’s about optimizing at the margins.
This takes different forms in different industries. Our use cases – showcasing the joint solution of Vultr’s cloud infrastructure layer, NetApp’s data intelligence platform, and NVIDIA’s GPU hardware and Enterprise AI software – feature applications in two industries: hospitality and gaming. It underscores how organizations can optimize AI models and enhance GPU utilization to drive operational efficiency, improve user experience, and, ultimately, increase revenue.
The technology stack of modern AI application
Although gaming and hospitality solve very different business problems, both technology architectures rely on a unified cloud stack combining compute, data management, AI acceleration, and real-time orchestration.
At the infrastructure layer, Vultr Cloud GPU and Bare Metal provide scalable compute accelerated by NVIDIA GPUs, orchestrated through Vultr Kubernetes Engine to run containerized services, inference pipelines, and operational workloads across regions. NetApp ONTAP acts as the governed data backbone, delivering persistent storage, high-throughput data access, and global synchronization for both real-time and batch workloads.
This stack connects data pipelines, AI models, and operational services into a single production environment where decisions can be made in real time.
Hospitality: Operational AI to improve profit per room
The hotel industry is facing a challenge: occupancy growth is remaining mostly stagnant, revenue per available room gains are modest, and operating costs are escalating. This means that hospitality organizations that continue to thrive will do so not by volume, but by applying AI to maximize at the margins.
AI adoption alone isn’t sufficient. The regional and regulatory nature of the industry necessitates a unified data strategy to fully operationalize AI.
NetApp’s data storage and governance layer enables this. By unifying booking and operational data, with portability and protection ensured, NetApp ONTAP provides a strong foundation for data management and AI application. Advanced NVIDIA Nemotron 3 models apply that data and GPU acceleration to workloads like demand forecasting, pricing optimization, scenario simulation, labor modeling, and cancellation prediction.
Vultr operationalizes those capabilities, enabling global deployment across 33 cloud data center regions without vendor lock-in or complex configuration. Together, the solution delivers smarter pricing, actionable and explainable forecasting, labor cost reduction, and in turn, improved profit per room — giving organizations the agility and efficiency to stay competitive in today’s hospitality landscape. Read the full use case.
Gaming: Improved user experience for engagement and retention
Performance demands in gaming have never been higher. With users increasingly seeking seamless multiplayer experiences with remote, global, immediate connectivity and top-tier rendering, gaming organizations must deliver or risk customer and revenue loss.
It also introduces a challenge: GPU overprovisioning and waste. The platforms that can deliver low-ping performance without disruptions or resource misallocation will gain a clear advantage.
Vultr, NVIDIA, and NetApp deliver consistent low-ping global player experiences with:
- Vultr’s global edge infrastructure, which reaches 90% of the world’s population within 2-40ms, with simple setup and deployment
- NVIDIA GPUs for real-time frame processing, Nemotron 3 Nano, and NVIDIA Dynamo to optimize inference and scaling
- NetApp ONTAP with FlexCache for local asset access
Plus, Vultr Kubernetes Engine dynamically scales workloads to support increased player demand during launches or live events, using real-time telemetry through Vultr Managed Apache Kafka®. Read the full use case.
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