[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-228329-en":3,"doc-seo-228329-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},228329,687207412472,"Angel","https://ap-avatar.wpscdn.com/davatar_155a257f0dc6eb9ab79c44ca47cae57d",6,"Technology","HPE DAOS Update - DAOS Involvement","HPE DAOS Update outlines HPE involvement in the DAOS ecosystem, covering foundational participation and technical enhancements that broaden DAOS adoption. It details SSD-focused metadata work, DAOS I/O optimization for PyTorch using fsspec over DFS, and SlingShot-200 readiness via the ANL “Mercury” RPC framework. The session also presents an unbundled, repeatable single-rack POC delivery approach, including qualified hardware/software BOM and DAOS administration support with HPE Performance Cluster Manager.","HPE DAOS Update  \nTorben Kling Petersen, PhD  \nDistinguished Technologist  \nLead HPC Storage Architect Global HPC and AI BU  \nHPE’s DAOS Involvement  \n\n| DAOS Foundation: | Founding member of the Foundation\u003Cbr>Widens the community of DAOS developers and adopters |\n| --- | --- |\n| Metadata on SSD: | Eliminates the original requirement to use persistent memory hardware Enhancements to the Memory allocator |\n| PyTorch: | Optimize DAOS IO for PyTorch\u003Cbr>Evaluation is based on fsspec over DFS (& adding dlio_benchmark) |\n| SlingShot-200 | Enabling full SlingShot support including using the ANL “Mercury”RPC framework |\n| Solution HW: | Proliant gen 11 servers (e.g., DL360 G11 or DL380 G11) Roughly doubles single-rack performance |\n| POC Systems: | DAOS testbed availability for application integration and tuning Assists customers, partners, ISVs in integrating with DAOS |\n\nDAOS POC System Update  \n• A Single-Rack Solution with Maximums:  \n• 32 DL-360 Gen11; 1TB DDR5, 5PB flash  \n• Four 200Gb (Slingshot) or 400Gb (Nvidia) Switches  \n• ~1.4TBps/0.7TBps raw read/write throughput  \n• ~64M/32M peak read/write operations per second  \n• Double these maximums available with chilled doors  \n• Unbundled Repeatable Solution Delivery Method  \n• Qualified hardware and software BOM  \n• HPCM cluster management software  \n• Light installation / configuration scripting  \n• Reference doc set: for field or factory integration  \n• Customer system administration skills required  \n• Customer accessible test system in DMZ in CF labs  \nUp to 2 HPE Management Servers:  \n• DL-325 Gen11 single-socket  \nUp to 4 200 or 400GbE Switches:  \n• HPE Slingshot 200  \n• Mellanox QM8700  \nUp to 32 HPE DAOS Server Cfg:  \n• DL-360 Gen11  \n• 1-Socket Sapphire Rapids Cfg *  \n• Max 10x Gen5 NVMe SSD 3. 2TB+ *  \n• 16x DDR5 *  \n• 200Gb or 400Gb NIC *  \n* Double density possible with chilled doors  \nDAOS Administration Support  \n• Cluster Setup Process  \n• Compliant HW is pre-assembled onsite or in HPE Manufacturing with firmware / BIOS leveled / configured  \n• Admin node’s OS/HPCM is installed & added to customer admin network  \n• OS distro to be deployed to DAOS servers is added to admin node’s HPCM repository  \n• BMC & server OS access MACs, and BMC login info are added  \n• HPE Performance Cluster Manager (HPCM)  \n• Server cluster management & monitoring via top-of-rack admin node  \n• Can optionally manage compute nodes attached to DAOS as well  \n• DCM command set augments HPCM  \n• Supports multiple logical DAOS systems / clusters within one physical cluster of HPE Proliant nodes  \n• Programmatically sets up and tears down mini-clusters on subgroups of nodes  \n• Operates / administers DAOS on each of the configured mini-clusters  \n• Familiar to HPCM administrators using similar commands  \nThankyou  \n[tkp@hpe.com](tkp@hpe.com)","cbCaijw9bjLX40Ay","https://ap.wps.com/l/cbCaijw9bjLX40Ay","pdf",463969,1,5,"English","en",105,"# HPE’s DAOS Involvement\n## DAOS Foundation and key technical areas\n## POC System Update (single-rack solution)\n## DAOS Administration Support","[{\"question\":\"What does the document say about HPE’s role in the DAOS Foundation?\",\"answer\":\"HPE is described as a founding member of the DAOS Foundation, helping widen the community of DAOS developers and adopters.\"},{\"question\":\"How does the update address DAOS work related to PyTorch?\",\"answer\":\"It states that DAOS I/O is optimized for PyTorch, with evaluation based on fsspec over DFS and mentions adding dlio_benchmark.\"},{\"question\":\"What is included in the proposed DAOS POC system and delivery method?\",\"answer\":\"The document proposes an unbundled repeatable single-rack delivery method with qualified hardware/software BOM, HPCM cluster management software, light installation/configuration scripting, and a reference document set for field or factory integration.\"}]","HPE DAOS Update - 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