With GPUDirect Storage (GDS) NVIDIA has created a data path from the storage directly into the buffer of NVIDIA GPUs. IBM Spectrum Scale is perfectly suited to take advantage of this feature from NVIDIA to further enhance storage performance. This joint session by NVIDIA and IBM development provides GDS overview, highlights how GDS has been integrated with Spectrum Scale and how it can be used to drive higher performance.
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User Group Host: Kristy Kallback-Rose
|Ingo Meents||Ingo Meents has been working as an architect in IBM Spectrum Scale and its predecessors’ development for more than 10 years. His current focus is on RDMA technologies like Nvidia’s GPU Direct Storage (GDS) to eliminate the IO bottleneck faced by modern AI applications. He is leading the agile team that has made GDS in Spectrum Scale generally available and is working on further enhancements.
|Kiran Kumar Modukuri ||Kiran Modukuri is a Principal software engineer at NVIDIA DGX Platform software team with special focus on accelerating IO pipelines for AI and Machine Learning. He is the Co-architect of NVIDIA MagnumIO GPUDirect Storage and he has technical contributions to Distributed Filesystems, caching and replication technologies over the last 16 years. Kiran has Master's degree in electrical and computer engineering from university of Arizona.