Wiwynn is showcasing the latest NVIDIA-powered AI solutions, developed in collaboration with Wistron, at GTC 2026 (Booth #1121). From board-level innovation to rack-scale integration and validation, Wiwynn's end-to-end expertise in accelerated computing, storage, and liquid cooling delivers future-ready AI factories with breakthrough performance, exceptional energy efficiency, and faster time-to-value. Technology highlights NVIDIA Vera Rubin NVL72: Wiwynn and Wistron are among the first in line with readiness for the fully liquid-cooled, rack-scale platform unifying 72 NVIDIA Rubin GPUs and 36 NVIDIA Vera CPUs.
Optimized for frontier AI model training, inference and reasoning, the platform delivers up to 10X higher performance per watt through extreme co-design ?delivering breakthrough performance and efficiency for AI factories. NVIDIA HGX Rubin NVL8: A top-tier modular accelerated computing platform?a fanless, high-density 2U system with eight NVIDIA Rubin GPUs and 100% liquid cooling to achieve remarkable PUE. Scales from 8 to 16 systems per rack over NVIDIA Spectrum-X Ethernet or NVIDIA Quantum-X800 InfiniBand, adapting to evolving compute needs at scale.
NVIDIA RTX PRO Server: A compact 2U Arm-based platform that pairs dual NVIDIA Vera CPUs with two NVIDIA RTX PRO 4500 Blackwell Server Edition GPUs (32GB GDDR7 each) to power neural rendering and AI-driven design. Storage-Next: Part of NVIDIA's Storage-Next initiative, the GPU-initiated storage architecture leverages NVIDIA SCADA to directly orchestrate I/O across a 96-drive NVMe array via the GPU, delivering ultra-high IOPS, sub-millisecond tail latencies and petabyte-class density for GNN, LLM inference, and RAG. Direct liquid cooling, integrated per-drive telemetry and multi-zone leak detection enable high efficiency and hot-serviceability.
Session at GTC 2026 Topic: Build an AI-Ready Data Center: Practical Insights from YTL, Wiwynn, and NVIDIA March 19, 2026, 10:00?10:40 a.m. PT A deep dive into L11?L12 co-engineering?from rack delivery to cluster acceptance?accelerating deployments and optimizing thermals, power, and serviceability.
