The agreement marks the first in a broader network of infrastructure ecosystem partnerships that will support Smartbird’s strategy to deliver a proven stack of best-of-breed technologies as a fully-managed, enterprise-grade AI infrastructure service.
Why It Matters Now: Production AI Demands Infrastructure Enterprises Can Control
As AI moves to production scale and adopts agentic AI applications that operate continuously, infrastructure economics become increasingly important: GPU utilization, power consumption, and cost per token can determine whether AI initiatives scale or stall.
At the same time, many organizations, particularly in highly regulated industries such as government, healthcare, and financial services, cannot move sensitive data into shared public cloud environments. Some also lack in-house teams with the specialized expertise to build and operate advanced AI infrastructure. Smartbird is focused on serving these organizations, offering dedicated, sovereign, private AI infrastructure delivered and operated as a managed service.
Workload-First, Customer-First: Dedicated AI Infrastructure
Launched in June 2026, Smartbird designs, builds, and operates dedicated AI clusters for enterprises. Each cluster is delivered as a managed service, designed for the customer’s specific workloads and deployed either on-premises or in a dedicated colocation environment.
A Proven Technology Stack
Smartbird clusters incorporating WEKA NeuralMesh software deliver:
High-performance data and memory infrastructure. Customers can deploy rapidly and ensure GPUs are continuously supplied with data, with throughput reaching hundreds of gigabytes per second.
Fully managed, end-to-end. Smartbird delivers and operates the complete infrastructure stack: facilities, compute, networking, data infrastructure, and data orchestration. Customers get one accountable partner without having to integrate multiple vendors or manage multiple hardware release cycles.
Sovereign by design. Customer data stays within a customer-controlled environment and runs on fully dedicated infrastructure, providing the isolation, encryption, and auditability that regulated industries require.
A fast, efficient foundation for inference and agentic AI. As enterprise AI shifts from periodic training to persistent inference and agentic applications, the Smartbird-WEKA solution expands GPU memory capacity, shortens time to first token, and reduces recomputation, thereby lowering token costs.