SAKURAONE is a managed high performance computing (HPC) cluster developed and operated by the SAKURA Internet Research Center. It reinforces the ``KOKARYOKU PHY’’ configuration of bare-metal GPU servers and is designed as a cluster computing resource optimized for advanced workloads, including large language model (LLM) training. In the ISC 2025 edition of the TOP500 list, SAKURAONE was ranked in the world based on its High Performance Linpack (HPL) score, demonstrating its global competitiveness. In particular, it is the that employs a fully open networking stack based on and the operating system, highlighting the viability of open and vendor-neutral technologies in large-scale HPC infrastructure. SAKURAONE achieved a sustained performance of 33.95~PFLOP/s on the HPL benchmark (Rmax), and 396.295~TFLOP/s on the High Performance Conjugate Gradient (HPCG) benchmark. For the HPL-MxP benchmark, which targets low-precision workloads representative of AI applications, SAKURAONE delivered an impressive 339.86~PFLOP/s using FP8 precision. The system comprises 100 compute nodes, each equipped with eight NVIDIA H100 GPUs. It is supported by an all-flash Lustre storage subsystem with a total physical capacity of 2~petabytes, providing high-throughput and low-latency data access. Internode communication is enabled by a full-bisection bandwidth interconnect based on a Rail-Optimized topology, where the Leaf and Spine layers are interconnected via 800~GbE links. This topology, in combination with RoCEv2 (RDMA over Converged Ethernet version 2), enables high-speed, lossless data transfers and mitigates communication bottlenecks in large-scale parallel workloads.

生成讲解博客的中文版本

生成AI智能校验的中文版本