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Hitachi has expanded its HMAX portfolio with four new offerings aimed at accelerating physical AI in critical infrastructure. The company added HMAX Data Center as a domain-specific solution, plus three cross-industry "foundry" services — HMAX Cyber, HMAX Data Fabric and HMAX AI Operations — pushing AI out of the cloud and into the machines, plants and grids Hitachi has supplied for decades.
Physical AI — intelligence embedded in robots, vehicles, factories and power networks rather than chatbots — is shaping up as the next demand wave for electronics hardware. HMAX Data Center targets the infrastructure layer, bundling control systems, energy management and operational technology for AI-ready facilities. The three "foundry" offerings cut across sectors: HMAX Cyber hardens OT environments against escalating attacks on utilities and plants, HMAX Data Fabric unifies fragmented industrial data across sites and vendors, and HMAX AI Operations provides the tooling to run AI workloads continuously at the edge. Hitachi pitches the foundry model as a shortcut for energy, mobility and industrial customers that lack in-house AI plumbing.
For PCB and electronics buyers, the takeaway is straightforward: physical AI multiplies the number of compute-bearing boards deployed in the field. Robots and autonomous mobile equipment need high-reliability rigid flex and HDI PCBs to pack sensor arrays and interconnects into tight, vibration-prone enclosures. Grid, rail and energy installations call for heavy copper and ceramic PCBs that handle power density and harsh environments. And every AI-ready data hall Hitachi helps build adds high layer count server PCB demand on top of the cloud buildout already straining supply. As physical AI moves from pilot to procurement, expect design cycles to reward board suppliers that move early on stack-ups, thermal budgets, materials and signal integrity.
LT CIRCUIT supports physical AI hardware programs with HDI, high layer count multilayer, rigid flex, heavy copper and ceramic PCBs, plus IMS substrates for thermally demanding power electronics. OEM teams designing robots, edge devices or AI-ready infrastructure can engage early for stack-up, DFM and thermal guidance to keep performance and cost on track.
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