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Bridges-2
Bridges-2, a resource of Pittsburgh Supercomputing Center, is designed for converged HPC + AI + Data. Its custom topology is optimized for data-centric HPC, AI, and HPDA (High Performance Data Analytics). An extremely flexible software environment along with community data collections and BDaaS (Big Data as a Service) provide the tools necessary for modern pioneering research. The data management system, Ocean, consists of two-tiers, disk and tape, transparently managed as a single, highly usable namespace.
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PSC Bridges-2 Regular Memory (Bridges-2 RM)
Bridges-2 Regular Memory (RM) nodes provide extremely powerful general-purpose computing, machine learning and data analytics, AI inferencing, and pre- and post-processing. Each Bridges RM node consists of two AMD EPYC “Rome” 7742 64-core CPUs, 256-512GB of RAM, and 3.84TB NVMe SSD. 488 Bridges-2 RM nodes have 256GB RAM, and 16 have 512GB RAM for more memory-intensive applications (see also Bridges-2 Extreme Memory nodes, each of which has 4TB of RAM). Bridges-2 RM nodes are connected to other Bridges-2 compute nodes and its Ocean parallel filesystem and archive by HDR-200 InfiniBand.
PSC Bridges-2 GPU (Bridges-2 GPU)
Bridges-2 Accelerated GPU (GPU) nodes are optimized for scalable artificial intelligence (AI; deep learning). Bridges-2 GPU nodes each contain 8 NVIDIA Tesla V100-32GB SXM2 GPUs, providing 40,960 CUDA cores and 5,120 tensor cores. In addition, each node holds 2 Intel Xeon Gold 6248 CPUs; 512GB of DDR4-2933 RAM; and 7.68TB NVMe SSD. They are connected to Bridges-2's other compute nodes and its Ocean parallel filesystem and archive by two HDR-200 InfiniBand links, providing 400Gbps of bandwidth to enhance scalability of deep learning training.
PSC Bridges-2 Extreme Memory (Bridges-2 EM)
Bridges-2 Extreme Memory (EM) nodes provide 4TB of shared memory for genome sequence assembly, graph analytics, statistics, and other applications that need a large amount of memory and for which distributed-memory implementations are not available. Each Bridges-2 EM node consists of 4 Intel Xeon Platinum 8260M “Cascade Lake” CPUs, 4TB of DDR4-2933 RAM, 7.68TB NVMe SSD. They are connected to Bridges-2's other compute nodes and its Ocean parallel filesystem and archive by HDR-200 InfiniBand, providing 200Gbps of bandwidth to read or write data from each EM node.
PSC Bridges-2 Storage (Bridges-2 Ocean)
The Bridges-2 Ocean data management system provides a unified, high-performance filesystem for active project data, archive, and resilience. Ocean consists of two tiers, disk and tape, transparently managed by HPE DMF as a single, highly usable namespace. Ocean's disk subsystem, for active project data, is a high-performance, internally resilient Lustre parallel filesystem with 15PB of usable capacity, configured to deliver up to 129GB/s and 142GB/s of read and write bandwidth, respectively. Ocean's tape subsystem, for archive and additional resilience, is a high-performance tape library with 7.2PB of uncompressed capacity (estimated 8.6PB compressed, with compression done transparently in hardware with no performance overhead), configured to deliver 50TB/hour.
PSC Bridges-2 GPU-AI (Bridges-2 GPU Artificial Intelligence)
Bridges-2 Accelerated GPU (GPU) nodes are optimized for scalable artificial intelligence (AI; deep learning). Bridges-2 GPU nodes each contain 8 NVIDIA Tesla V100-32GB SXM2 GPUs, providing 40,960 CUDA cores and 5,120 tensor cores. In addition, each node holds 2 Intel Xeon Gold 6248 CPUs; 512GB of DDR4-2933 RAM; and 7.68TB NVMe SSD. They are connected to Bridges-2's other compute nodes and its Ocean parallel filesystem and archive by two HDR-200 InfiniBand links, providing 400Gbps of bandwidth to enhance scalability of deep learning training. Bridges-2 GPU AI resource will also contain 9 HPE 8-Volta servers along with a NVIDIA DGX-2.
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There are no announcements at this time. Please check back later or visit the Announcements page.