Gooxi joined the 2026 Q1 WPI Group & Intel DCAI Product Training in Changsha, showcasing its latest AI servers and end-to-end infrastructure solutions. Built around its All-in-AI strategy, the portfolio highlights Gooxi’s capabilities across AI, HPC, and modern data centers.

The company’s long-term collaboration with Intel has expanded into full-stack co-innovation—from platform development and validation to go-to-market alignment—enabling faster rollout of optimized solutions.

At the event, Gooxi presented three flagship systems—SY8108G-G4, SY4108G-G4, and SL201-G5—covering workloads from large-scale AI to enterprise IT.

The SY8108G-G4 targets large model inference with support for dual 4th/5th Gen Intel® Xeon® Scalable processors and up to 8× 600W GPUs. Its 8U chassis is engineered for high-density deployment with optimized airflow, delivering efficient cooling, lower noise, and improved system longevity. Flexible interconnect design boosts multi-GPU communication efficiency by over 35%, making it well-suited for generative AI, digital twins, and autonomous driving workloads.

The SY4108G-G4 is built for performance-focused deployments, offering flexible storage configurations, PCIe 5.0 expansion, and support for up to 8× 600W GPUs. With intelligent thermal management, redundant power, and integrated security features, it delivers stable performance in demanding, regulated environments.

The SL201-G5, based on Intel’s Birch Stream platform, is a 2U general-purpose system designed for compute-intensive workloads. Supporting dual 6th Gen Intel® Xeon® Scalable processors, high-speed DDR5 memory, and PCIe 5.0, it removes I/O bottlenecks and handles enterprise, cloud, HPC, and distributed storage scenarios with ease.

Gooxi solutions are already deployed across industries including internet services, telecom, energy, and education, helping customers scale infrastructure more efficiently.

Gooxi continues to expand its collaboration with Intel, focusing on high-performance, reliable AI infrastructure that supports real-world deployment at scale.