GIGABYTE Technology is showcasing its end-to-end AI infrastructure portfolio at MWC 2026, targeting the telecommunications industry's transformation from data carriers to AI-powered digital platforms. The company's comprehensive solutions aim to help operators convert massive network data volumes into intelligence, automation, and new revenue streams through AI factories that process and commercialize network data.

At the core of this transformation is the GB300 NVL72 rack-scale platform, featuring 72 NVIDIA Blackwell Ultra GPUs and 36 NVIDIA Grace CPUs in a single liquid-cooled system. Connected via NVIDIA Quantum-X800 InfiniBand or Spectrum-X Ethernet, this platform optimizes large-scale AI training and inference workloads for telecom operators. GIGABYTE also extends its portfolio with AMD-based solutions like the G893-ZX1-AAX4, combining EPYC CPUs with Instinct MI355X GPUs for high performance-per-watt inference and simulation workloads.

The company's offerings span from core data centers to edge deployments, including AI workstations like the W775-V10-L01 powered by NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip. With solutions ranging from massive rack-scale systems to compact AI TOP ATOM devices delivering one petaFLOP of compute, GIGABYTE provides telecom operators with the infrastructure needed to deploy AI services at scale while managing power efficiency and cost.