At Computex, Supermicro presented its Vera Rubin DCBBS blueprint as part of its shift from server manufacturing toward data center solutions. The strategy makes liquid cooling a standard feature for AI racks and promotes turnkey DCBBS data center construction. Supermicro is also exploring SMR energy supply, extending its infrastructure planning beyond hardware and delivery into power availability.
At Computex, Marvell argued that connectivity is becoming a key bottleneck for AI infrastructure as systems scale. NVIDIA CEO Jensen Huang appeared at the event and described Marvell as the next trillion-dollar company. The presentation highlighted Marvell's AI connectivity stack, reflecting growing industry attention on the links supporting large-scale AI systems.
NeuroWatt plans to unveil an integrated enterprise AI solution at Computex 2026. The offering combines the NeuroTeam operating system with modular NeuroBrick NANO hardware for secure and controllable on-premises deployment. It is positioned as a one-stop platform for scaling enterprise AI, although the source does not disclose specifications, pricing, supported models, benchmarks, or customer deployments.
NVIDIA, Arm and Microsoft posted coordinated teasers around “A new era of PC,” tied to mysterious coordinates pointing to Taipei. The report frames the move as a pre-COMPUTEX push, with NVIDIA’s rumored N1X Arm chip expected to appear at GTC Taipei. Still, skepticism remains around delays, high pricing, and backlash against overused AI PC messaging.
MetaAge presented its “smart enterprise in the AI era” vision at COMPUTEX 2026, centered on AI Agent solutions for business deployment. The showcase focuses on core operations, intelligent customer service, and cybersecurity governance. By integrating resources from AWS, Microsoft, and Google Cloud, the company aims to help enterprises turn AI adoption into practical operational capability and competitive advantage.
Digital Infinite will exhibit AI-Stack and ixCSP at COMPUTEX 2026. AI-Stack focuses on managing heterogeneous AI compute resources, while ixCSP turns compute capacity into operable and billable cloud services. The article frames the company’s direction as moving from AI infrastructure toward cloud-based compute commercialization, though it does not provide benchmark data, pricing, customer deployments, or model-specific details.