INIFINITX PR illustration related to Event: 2025 Smart City Summit & Expo Kaohsiung
Events
March 17, 2025

Event: 2025 Smart City Summit & Expo Kaohsiung

Find Graid Technology at Smart City Kaohsiung 2025 at co-booth S1311a where we'll showcase a comprehensive solution for handling big data from the edge to the cloud in the smart city world.

Featuring the SMCI Dual Controller Server (SBB) +  SupremeRAID™, this solution ensures high availability, blazing-fast storage performance, unlimited scaling out, scaling up and reduced infrastructure costs, making it ideal for demanding AI and big data workloads.

With the AI-Stack by Infinitix, this system further enhances AI workload efficiency, streamlines data processing, and accelerates model training, offering a seamless and cost-effective AI management platform.

Visit Booth S1311a to experience the future of SupremRAID™-driven data solutions!

Smart City Kaohsiung 2025

🗓 Date: March 20-22, 2025
📫  Location: Kaohsiung Exhibition Center, Taiwan
⭐️ Booth: S1131a
🌐 Web: https://en.smartcity.org.tw/index.php/en-us/

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News & Resources

Join Graid Technology at the 2026 Dell Technologies Forum Shanghai on August 21! Discover how Dell × SupremeRAID™ solutions power AI from cloud to edge—from private AI and HPC clusters to edge AI and KV Cache offloading—with 2–10× higher storage performance, up to 80 GB/s per node, and up to 24× faster TTFT.
Don't miss our joint speaker session with Supermicro, where we'll walk through scaling approaches across every tier, from single-server to rack-scale to monolithic deployments, and show how dense NVMe GPU platforms paired with SupremeRAID™ turn SSDs into a high-performance, protected KV cache tier. If storage is becoming your AI infrastructure bottleneck, this is the session to catch. See you at FMS 2026!
Graid Technology has achieved an industry-first benchmark: 100 million IOPS on a protected RAID 5 volume for GPU-initiated I/O, built from 32 KIOXIA XD8 NVMe SSDs. The result shows that resilient NVMe storage can now operate at the scale that current and future AI deployments require, which is especially significant for environments that require both extreme performance and enterprise-class data protection. In benchmark testing with a WholeGraph training workload, [...]