Vultr, the world’s largest privately held cloud infrastructure company, announced, along with SUSE and Supermicro, a strategic architectural framework designed to simplify the deployment and operation of artificial intelligence workloads in distributed environments.
As AI moves ever closer to the point of data generation, from industrial plants to retail outlets, organizations face increasing challenges related to latency, cost, and operational consistency. This joint initiative offers an integrated architecture from the cloud to the network edge, featuring high-performance hardware, regional cloud infrastructure, and unified Kubernetes management.
The alliance responds to an increasingly clear reality: for real-time AI applications, sending all data to a central cloud is no longer viable. The solution organizes the infrastructure into three key layers:
- Cloud and network edge: Enterprises can deploy regional Kubernetes-based AI clusters closer to their users thanks to Vultr’s 33 global data center regions. Through the Cluster API (CAPI), teams can programmatically replicate and scale environments, using high-performance NVIDIA GPUs for inference tasks when local capacity at the network edge is insufficient.
- Regional network edge: Designed for distributed environments with ultra-low latency and low power requirements, Supermicro’s broad portfolio of CPU- and GPU-compatible servers and appliances enables the development of virtually custom hardware and software solutions. Through the Supermicro-SUSE partnership, these systems were validated with SUSE Linux Enterprise Server and SUSE Kubernetes Engine (RKE2 and K3s), facilitating the deployment and orchestration of distributed agents and inference processes on Vultr’s infrastructure. The systems process real-time workloads, such as computer vision and sensor data analysis, directly at the point of data generation.
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- Control layer: To manage thousands of sites without manual intervention, SUSE Edge (with SUSE Rancher Prime and Fleet) enables the deployment of GitOps-based workflows in distributed and cloud environments. Combined with SUSE AI, it ensures consistency across the entire software stack, including security policies, model updates, and configurations, from the main data center to devices deployed at the network edge. For industrial environments, SUSE Industrial Edge extends this model and enables private, on-premises deployments with deeper integration into each organization’s operating systems.
“As AI evolves into a new stage, data sovereignty and geographic proximity become increasingly important challenges,” said Kevin Cochrane , Chief Marketing Officer at Vultr . “By combining our global reach with regional GPU acceleration, we help companies extend their core cloud regions to the network edge. This partnership ensures that, regardless of where data originates, organizations have the infrastructure they need to process it and scale their operations.”
Rhys Oxenham , Vice President and General Manager of AI at SUSE, added: “Operating at scale is the biggest challenge in the edge ecosystem. Thanks to SUSE’s hybrid and distributed infrastructure model, we’ve integrated SUSE AI into SUSE Edge to automate the deployment of models, updates, and security policies across the entire architecture. Together with our partners, we’re making a truly distributed and easy-to-manage AI system a reality for modern businesses.”
Keith Basil , vice president and general manager of SUSE Edge, added: “As organizations bring intelligence closer to where data is generated, the network edge is no longer just infrastructure but an operating system. SUSE Edge provides a unified foundation for cloud and distributed environments, while SUSE Industrial Edge brings that model to on-premises deployments on Vultr infrastructure and specialized Supermicro platforms. This enables businesses to move from analysis to real-time action.”
“The network edge is a demanding environment that requires hardware designed to deliver real-time resilience and thermal efficiency. Our systems are ready to handle intensive AI inference workloads in locations where traditional data centers are not viable. Together with Vultr and SUSE, we offer a solution that integrates network edge infrastructure with a unified cloud experience,” said Vik Malyala, President and CEO for EMEA and Senior Vice President of Technology and AI at Supermicro.
SORUCE: Businesswire