GIGABYTE's AI Infrastructure Vision: From Rack-Scale Systems to Real-World Deployment
GIGABYTE Technology, a global leader in high-performance computing and AI infrastructure, is showcasing its "Future Landing" vision at COMPUTEX 2026. This vision is brought to life through a comprehensive showcase of systems, software, and real-world deployments that demonstrate how AI infrastructure is built, deployed, and operated at scale.
One of the key highlights of GIGABYTE's "Future Landing" vision is its expanding portfolio of rack-scale AI infrastructure. This portfolio includes the NVIDIA Vera Rubin NVL72, which is showcased as part of GIGABYTE's broader rack-scale platform. GIGABYTE also presents GAIFA (GIGABYTE AI Factory Accelerator), a purpose-built AI factory in Taiwan where next-generation compute, high-speed networking, and NVIDIA's software stack are integrated into a fully validated environment for system verification, workload optimization, and deployment readiness.
At the operational layer, GPM (GIGABYTE POD Manager) provides unified visibility and infrastructure-level monitoring across compute, networking, cooling, and power systems, enabling AI factories to operate and scale as a coordinated system.
To accelerate deployment beyond conventional data center construction, GIGABYTE introduces GADU (GIGABYTE Accelerated Deployment Unit), a modular AI infrastructure platform that integrates high-density compute, advanced cooling, and power distribution into transportable, deployment-ready systems. GADU supports direct liquid cooling and immersion cooling architectures, enabling organizations to expand AI capacity with significantly reduced deployment timelines while maintaining flexibility across diverse operational environments.
GIGABYTE also demonstrates how AI moves beyond simulation and into real-world operation through a complete real-to-sim-to-real workflow built on NVIDIA's full-stack AI platforms. This workflow begins with high-fidelity digital twins built through NVIDIA OVX systems, powered by the XLS4-SX2-LAS1 platform on NVIDIA MGX™ architecture with RTX™ PRO GPUs for large-scale Omniverse simulations. AI training then advances through the G2L4-SD4-LA08 platform on NVIDIA HGX™ architecture, where synthetic data generation and reinforcement learning take place.
GIGABYTE also showcases a growing clinical AI ecosystem for real-time medical inference at the point of care. Working alongside healthcare partners, GIGABYTE integrates BRIX mini PCs with AI-assisted diagnostic systems supporting bone marrow smear classification and real-time polyp detection during colonoscopy. The VFG100, an FPGA-accelerated vision platform, delivers real-time image preprocessing with ultra-low CPU overhead, while AI TOP ATOM enables local inference for pulmonary imaging analysis, meeting healthcare data privacy and compliance requirements.
GIGABYTE also extends AI beyond centralized infrastructure by showcasing the W775 workstation and AI TOP ATOM desktop AI supercomputer for private training, model customization, and agentic AI workflows powered by NVIDIA NemoClaw.
At COMPUTEX 2026, GIGABYTE demonstrates how "Future Landing" is turning AI infrastructure into systems that are ready, deployable, and already happening. The company showcases its computing capabilities from AI infrastructure to everyday intelligent experiences, bringing AI closer to where decisions are made.
