HPC Software: Understand the overall HPC and AI environment, and the possible impact of MPI, job schedulers (e.g. Slurm), containerization, AI frameworks (TensorFlow, PyTorch) and other systems management tools (such as Open Nebula or similar ones) when designing the storage infrastructure. o Supporting the technical aspects of the projects and providing the required technical documentation (e.g. complete architecture diagrams, BOMs, and cost estimates for HPC/AI networking deployments, etc..) * Partner with the main technical stakeholders such as other specialized presales teams and third-party providers, partners and alliances (e.g. Supermicro, Netapp, Weka, VAST, DDN, Nvidia/Mellanox, other storage and software providers…) to define the adequate architectures in each case. * Parallel file systems (e.g. Lustre, BeeGFS, IBM Spectrum Scale/GPFS). * AI Storage platforms (e.g. WekaIO, BeeGFS) * Object storage (e.g. Ceph, DAOS)
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