Integrated Infrastructure System for Simulation, Data, Learning, and Inference 1 Set

2026-11-03

Classification of the products to be procured : 1 Nature and quantity of the products to be purchased : Integrated Infrastructure System for Simulation, Data, Learning, and Inference Set Type of the procurement : Purchase Basi requirements of the procurement : A The system shall meet the following hardware requirements. The computing system shall consist of compute nodes composed of accelerator nodes equipped with computational accelerators and general-purpose CPU nodes. The total theoretical peak performance of the accelerator nodes (by double-precision floating-point arithmetic) shall be 140PFLOP or higher. Emulation is also acceptable. The total theoretical AI computation performance of the accelerator nodes (by FP or higher-precision floating-point arithmetic, without sparsity consideration) shall be 25EFLOP or higher. The total memory bandwidth of the accelerator nodes shall be 1.5PByte/se or higher, and the total memory capacity shall be 200TByte or higher. The CPUs of the general-purpose CPU nodes shall collectively provide 6,00 or more cores. The theoretical peak performance (double-precision floating-point arithmetic) per core shall be 65GFLOP or higher, memory capacity per core 2.0GByte or higher, and memory bandwidth per core 5.0GByte/se or higher. The instruction set architecture of the general-purpose CPU nodes may differ from that of the accelerator nodes. Each compute node shall be equipped with an NVMe SSD with 1.5TByte or greater physical capacity. ⑦ The inter-node network interface of each compute node shall support a bandwidth of 400Gbps or higher per accelerator device on accelerator nodes. For general-purpose CPU nodes, the bandwidth shall be 400Gbps or higher per node. ⑧ Each general-purpose CPU node shall be capable of communicating directly with external systems with an aggregate bandwidth of 800Gbps or higher. Each accelerator node shall communicate with external systems via the general-purpose CPU nodes. ⑨ A highly reliable parallel file system with a storage capacity of 5.0PByte or more shall be provided. It shall allow expansion to approximately 20PByte without reconfiguration while maintaining the same configuration. It shall support data compression. The compute nodes shall be able to access the file system with a transfer performance of 1.0TByte/se or higher. B The system shall meet the following software requirements. The system shall run the Linux operating system. The system shall provide compilers for Fortran 2008, C11, and C++1 or later for general-purpose CPUs, supporting automati SIMD vectorization and the OpenMP API version 4. or higher. For accelerator devices, it shall provide compilers for Fortran 2008, C11, and C++1 or later with automati parallelization, the OpenACC API version 2. or higher, and the OpenMP API version 5. or higher. A communication library supporting MPI version 3. or higher shall be provided. A Python runtime environment shall be provided. Highly optimized numerical computation libraries and machine-learning libraries shall be provided. A batch job system shall be provided. A single job shall be able to use both the general-purpose CPU node grou and the accelerator node grou simultaneously. ⑦ Kubernetes shall be provided as the container system. C The total power consumption of the installed system, excluding cooling equipment, shall be 2.0MVA or less. Power capacity, cooling, and installation design shall ensure sufficient heat dissipation for continuous operation of CPUs, accelerator devices, memory, storage devices, and network switches. Direct water cooling shall be used for general-purpose CPUs, accelerator devices, and inter-node network switches. Operational costs for other components such as storage shall be reduced through rear-door heat-exchanger water cooling or equivalent methods. The installation area, excluding cooling equipment, shall be 4 square meters or less. Time limit for the submission of the requested material : 1 : 0 2 April, 202 Contact point for the notice : WADA Kazuhiro, Accounting Team, Information Strategy Group, Information Systems Department, The University of Tokyo, 6-2- Kashiwanoha Kashiwa-shi Chiba-ken 277-088 Japan, TEL 070-1531-4283

Japan

2026-03-26