As AI adoption accelerates across industries, building scalable, efficient, and high performance infrastructure has never been more critical. At NVIDIA GTC 2026, Wiwynn, together with Wistron, showcases how we enable next generation AI data centers—combining compute, storage, advanced cooling solutions, and system level integration—designed to support higher power density and power the most demanding AI workloads.
What We’re Showcasing
At NVIDIA GTC 2026, Wiwynn and Wistron present a comprehensive portfolio of AI servers, networking, and thermal solutions, addressing AI deployments from hyperscale to enterprise environments.
AI Servers and Networking at Every Scale
• NVIDIA Vera Rubin NVL72: An AI supercomputer built for next-generation AI through extreme co-design. It unifies six purpose-built chips—Rubin GPUs, Vera CPUs, NVLink 6, ConnectX-9, BlueField-4, and Spectrum-X—into a single rack-scale system optimized that delivers AI training with one fourth the GPUs and AI inference at up to 10 times the throughput per watt and one tenth the cost per million tokens versus NVIDIA Blackwell.
• NVIDIA HGX™ Rubin NVL8: Scales AI factories for enterprise, accelerating AI and high-performance computing (HPC) workloads.
• Unveiling a comprehensive networking product line: including AI optimized network switches designed for high bandwidth, low latency workloads for AI Networking Platform.
Storage‑Next Architecture
Part of NVIDIA’s Storage Next initiative, the GPU initiated, 100% liquid cooled storage architecture leverages NVIDIA SCADA to directly orchestrate I/O across a 96 drive NVMe array—pushing toward 100M IOPS per GPU with sub millisecond tail latencies for GNN, LLM inference, and RAG. Integrated telemetry and leak detection enable hot-serviceability and petabyte class density.
Advancing Thermal Innovation
• Live demonstrations of innovative thermal solutions designed to support high power GPUs and dense system architectures.
• Showcasing how advanced cooling technologies enable higher rack density, improved energy efficiency, and long term system reliability in AI data centers.
Building an AI Data Center Ecosystem
Beyond individual systems, Wiwynn and Wistron focus on building a complete AI data center ecosystem—from foundational infrastructure to future ready operations.
Digital Twin and Intelligent Manufacturing
Building a complete ecosystem via NVIDIA Omniverse™:
• Demonstrating how NVIDIA Omniverse™ enables next generation manufacturing.
• Interactive digital twins: factory planning, validation, and optimization.
• Immersive Omniverse training and live thermal evaluation.
• Revealing automated manufacturing lines optimized through digital twin environments.
Meet Us at NVIDIA GTC 2026
Whether you are building your first AI cluster or scaling a full AI data center, Wiwynn and Wistron help turn ambition into reality. Visit our booth #1121 to speak with our experts, explore solutions, and learn how our collaboration enables AI innovation at scale.
Mar 19 Thu,
10:00-10:40 a.m. PT
Location: Marriott — Willow Glen I-III (L2)
Build an AI-Ready Data Center: Practical Insights from YTL, Wiwynn, and NVIDIA
This session reveals how YTL partnered with Wiwynn and NVIDIA to build an AI-ready data center. We’ll walk through the NVIS deployment methodology—covering site qualification, high-density GPU rack integration, and power/cooling validation under real-world stress. You’ll also learn how to implement end-to-end observability and manage liquid-cooling risks. Finally, we share benchmarking results using MLPerf and AI workloads to confirm the environment meets AI-ready standards.
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Ted Pang
Sr. Director, Wiwynn Corp.
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