This whitepaper explores the strategic advantages of 3D-Torus topology in meeting the escalating demands of large-scale AI and LLM workloads in next-generation data centers. As conventional network architectures encounter scalability, latency, and cost-efficiency bottlenecks, 3D-Torus presents a high-performance and scalable alternative.
The paper examines the integration of 224 Gbps high-speed interconnects, evaluates performance impacts on XPU-based clusters, and benchmarks 3D-Torus against traditional architectures including Fully-Connected, Tree, and Dragonfly. With reduced reliance on switching infrastructure, minimized active cable usage, and superior support for tensor and pipeline parallelism, 3D-Torus offers a compelling path toward efficient and future-ready AI infrastructure.
Register to Download the whitepaper!