Visionbay Selects Netris for Taiwan GPU Supercluster

Per a Business Wire press release distributed at GTC Taipei 2026, Visionbay.ai, a business unit backed by Foxconn, selected the Netris NAAM platform as the network automation foundation for what the release describes as the largest GPU cluster and AI supercomputing center in Taiwan. The release states that Visionbay has standardized on Netris across its entire GPU cluster roadmap, which it says extends to future GPU generations. The release quotes Neo Yao, CEO of Visionbay.ai: "Netris NAAM is essential infrastructure for any GPU cluster at AI factory scale." (Business Wire).

The Business Wire release describes Netris NAAM as a platform for "Network Automation, Abstraction, and Multi-Tenancy," and lists capabilities the vendor attributes to the product, including "hard multi-tenancy (enforced in hardware)," instant provisioning, and automation across fabric layers. The release further states that Netris has achieved "25+ live deployments in the last 12 months" across neoclouds, AI factories, and sovereign cloud providers (Business Wire).

Editorial analysis: Large-scale GPU clusters increasingly require automated, software-driven network fabrics to manage east-west GPU traffic, tenant isolation, and rapid provisioning. Companies operating AI factories and GPU clouds commonly evaluate solutions that combine automation, hardware-enforced isolation, and abstraction layers to reduce manual configuration at scale.

Editorial analysis: A publicized procurement decision by a Foxconn-backed AI infrastructure unit signals vendor interest in positioning NAAM-class products for hyperscale GPU deployments in Asia. For network and infrastructure engineers, the announcement underscores two vendor narratives now common in the market: (1) emphasis on multi-tenancy enforced at or near the hardware layer, and (2) product claims of broad, recent deployment traction as a procurement selling point.

Editorial analysis: Observers should track independent validation of hardware-enforced multi-tenancy performance, interoperability with InfiniBand and Ethernet fabrics at GPU scale, integration with GPU scheduling and orchestration stacks, and any case studies or benchmarks published by either party. Also watch for follow-up reporting on deployment timelines and measurable customer-facing SLAs; the Business Wire release does not provide deployment schedules or performance benchmarks.