
As the industry pushes deeper into the AI PC era, edge compute, and next-generation infrastructure, COMPUTEX remains one of the most important stages for understanding where enterprise and consumer technology are headed next.
Join Six Five Media in Taipei with analysts Ryan Shrout, Brendan Burke, Matt Kimball and Anshel Sag for executive conversations exploring the technologies, partnerships, and platform strategies shaping the next wave of AI-driven innovation.
Featuring discussions with leaders from Solidigm, Corsair, and MiTAC on topics spanning AI infrastructure, high-performance computing, edge systems, gaming and creator platforms, and the evolving demands being placed on modern compute architectures.

AI inference performance depends on storage architecture more than most enterprise infrastructure teams have accounted for. Analyst Ryan Shrout and Avi Shetty, VP of AI Ecosystem and Market Enablement at Solidigm, breaks down why growing context windows force GPU recompute when storage is under-provisioned, how the three-tier inference storage architecture addresses that constraint, and why Jensen Huang's projection that the context memory tier will consume the entire TAM of storage signals the scale of infrastructure commitment enterprises need to be planning for now.

MiTAC Computing is addressing the core constraints of enterprise AI scaling: floor space, power capacity, and cooling efficiency. Matt Kimball catches up with Raymond Huang at Computex 2026 to walk through a full portfolio spanning high-density liquid-cooled racks, diamond-cooled air servers, unified POD management, and containerized modular AI factories that cut deployment timelines from years to weeks.
Corsair is extending its high-performance computing expertise into AI workstations and server infrastructure, targeting enterprises that need local AI compute for security, data sovereignty, and cost efficiency. Anshel Sag catches up with Matthew Hsu, SVP & GM at Corsair, at COMPUTEX Taipei 2026 to examine how the company is addressing the full AI lifecycle from inference to model training and deployment.

AI inference performance depends on storage architecture more than most enterprise infrastructure teams have accounted for. Analyst Ryan Shrout and Avi Shetty, VP of AI Ecosystem and Market Enablement at Solidigm, breaks down why growing context windows force GPU recompute when storage is under-provisioned, how the three-tier inference storage architecture addresses that constraint, and why Jensen Huang's projection that the context memory tier will consume the entire TAM of storage signals the scale of infrastructure commitment enterprises need to be planning for now.

MiTAC Computing is addressing the core constraints of enterprise AI scaling: floor space, power capacity, and cooling efficiency. Matt Kimball catches up with Raymond Huang at Computex 2026 to walk through a full portfolio spanning high-density liquid-cooled racks, diamond-cooled air servers, unified POD management, and containerized modular AI factories that cut deployment timelines from years to weeks.
Corsair is extending its high-performance computing expertise into AI workstations and server infrastructure, targeting enterprises that need local AI compute for security, data sovereignty, and cost efficiency. Anshel Sag catches up with Matthew Hsu, SVP & GM at Corsair, at COMPUTEX Taipei 2026 to examine how the company is addressing the full AI lifecycle from inference to model training and deployment.