IBM Announces Spectrum Scale On NVIDIA DGX-1 Server
IBM not long ago introduced a converged equipment made with NVIDIA, the IBM Spectrum AI with NVIDIA DGX. The Spectrum DGX combines NVIDIA’s DGX-1 server with IBM’s Spectrum Scale on all-flash.
IBM’s Spectrum Scale can be a well-known cluster file system. Originally referred to as IBM Basic parallel File System (GpFS) it was renamed to Spectrum Scale a few decades back. It provides concurrent obtain to a single file procedure or set of file techniques from numerous nodes. It supports nodes which can be SAN hooked up, network attached, a combination of SAN attached and network attached, or inside of a very little shared cluster configuration. On every node during the cluster, IBM Spectrum Scale is made up of three fundamental components: administration instructions, a kernel extension, in addition to a multithreaded daemon. These three parts incorporate to provide a worldwide namespace, shared file program obtain amid IBM Spectrum Scale clusters, simultaneous file obtain from various nodes, higher recoverability and data availability through replication, along with the capacity to produce adjustments while a file procedure is mounted.
NVIDIA targets the DGX-1 at AI investigation, and it's impressively well suited to that job. The program has eight Tesla V100 GpUs that provide a overall of 256GB GpU memory. The CpU is typically a dual-core Intel Xeon. With 40,960 CUDA cores and 5,one hundred twenty Tensor cores, this beast should be able to deal with any AI model you throw at it. 4 1.92 TB SSDs inside a RAID 0 setup offer storage. NVIDIA also preloads software program onto the DGX developed to wring by far the most general performance probable from their GpUS.
Merged they supply a complete option of methods and software program. IBM Spectrum AI with NVIDIA is made for knowledge science efficiency and IT simplicity. Software-defined, IBM SpectrumAI with NVIDIA DGX could be configured to satisfy your current and increasing small business prerequisites. IBM Spectrum Scale could be deployed in configurations from the solitary IBM Elastic Storage Server (ESS), to help some NVIDIA DGX-1 servers, to comprehensive rack of 9 servers with seventy two Tesla V100 Tensor Core GpUs to multi-rack configurations. Using a whole rack, IBM SpectrumAI with NVIDIA DGX has shown 120GB/s of data throughput to support various user and many models simultaneously.
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