GigaIO Powers Past Limits with Lightning-Fast AI Interconnect

Twice the Speed, Fraction of the Lag

GigaIO has unveiled a transformative advancement in AI infrastructure with its FabreX™ performance results, showcasing up to 2x faster AI model training and 2.3x faster fine-tuning when compared to traditional systems. Even more impressive, the platform slashes latency by a staggering 83.5x. This leap in performance demonstrates how disaggregated architectures connected by GigaIO’s FabreX can outclass legacy configurations on both speed and efficiency. It’s a game-changer for AI developers hungry for faster iteration cycles.

Efficiency That Breaks the Mold

Achieving breakthrough performance typically comes at the price of increased power consumption, but GigaIO flips the script. By eliminating the need for PCIe switches and root complex limitations, FabreX delivers superior throughput while consuming significantly less power. It supports high-performance GPUs, smartNICs, and DPUs within a composable resource environment, optimizing utilization without the energy bloat. This positions GigaIO as a viable choice for sustainable, energy-conscious AI deployments.

Enter the Disaggregated Data Center Era

The FabreX interconnect lays the groundwork for radically new AI data center designs—flexible, scalable, and cost-effective. GigaIO’s approach allows GPU resources to be shared and pooled across nodes, breaking free from traditional server constraints. With growing demand for AI computing and infrastructure bottlenecks looming, FabreX might just be the blueprint for the next generation of hyperscale performance and efficiency.