{"product_id":"hpe-proliant-dl385","title":"HPE ProLiant DL385","description":"\u003cp\u003e \u003c\/p\u003e\n\u003cdiv class=\"product-description\"\u003e\n\u003ch1\u003eHPE ProLiant DL385 Generation 10 CTO Server with NVIDIA A100 GPUs\u003c\/h1\u003e\n\u003cdiv class=\"product-overview\"\u003e\n\u003cp\u003eThis server is equipped with two 32-core AMD EPYC 7502 processors (64 cores, 128 threads) and 512 GB of HPE DDR4 memory. For storage, it features 2x 480GB M.2 NVMe drives and 2x 1.6TB Enterprise SAS SSDs. The server supports an 8-position 2.5\" SFF backplane and is equipped with an HPE Smart Array S100i RAID controller.\u003c\/p\u003e\n\u003cp\u003eIt includes 2x NVIDIA A100 80GB GPU accelerators, making it ideal for AI and machine learning. The server features four integrated GB NICs and two 10GB SFP+ ports. Redundancy is ensured through 2x 800W power supplies, and management is simplified with iLO5.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"specifications\"\u003e\n\u003ch2\u003eTechnical Specifications\u003c\/h2\u003e\n\u003ctable class=\"specs-table\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003cth\u003eProcessors\u003c\/th\u003e\n\u003ctd\u003eTwo 32-core AMD EPYC 7502 (2.5 GHz, Max Turbo 3.4 GHz)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eCores \/ Threads\u003c\/th\u003e\n\u003ctd\u003e64 cores \/ 128 logical processors\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eMemory\u003c\/th\u003e\n\u003ctd\u003e512 GB (8x 64GB) HPE DDR4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003ePrimary Storage\u003c\/th\u003e\n\u003ctd\u003e2x 480GB M.2 NVMe\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eSecondary Storage\u003c\/th\u003e\n\u003ctd\u003e2x 1.6 TB Enterprise 2.5\" SAS SSD\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eBackplane\u003c\/th\u003e\n\u003ctd\u003e1x 8Bay 2.5\" SFF (8SFF)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eRAID\u003c\/th\u003e\n\u003ctd\u003eHPE Smart Array S100i SR Gen10 SW RAID + P208i RAID Controller\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eGraphics Units (GPU)\u003c\/th\u003e\n\u003ctd\u003e2x NVIDIA A100 80 GB SXM4 PCIe GPU Accelerator\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003ePower Supply\u003c\/th\u003e\n\u003ctd\u003e2x redundant 800W power supply\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eNetwork Connectivity\u003c\/th\u003e\n\u003ctd\u003eQuad Integrated GB NICs + Dual port 10GB SFP+\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eRack Rails\u003c\/th\u003e\n\u003ctd\u003eIncluded\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eManagement\u003c\/th\u003e\n\u003ctd\u003eiLO5 Standard\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eDevice Status\u003c\/th\u003e\n\u003ctd\u003eRefurbished\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eWarranty\u003c\/th\u003e\n\u003ctd\u003e24 months RTB (Return To Base)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eTested with\u003c\/th\u003e\n\u003ctd\u003eWindows Server 2022\/2019, VMware ESXi 7.0, Windows Server 2016\/2019 HPC, Ubuntu, CentOS 7 64-bit, Proxmox VE\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"key-features\"\u003e\n\u003ch2\u003eKey Features and Benefits\u003c\/h2\u003e\n\u003cdiv class=\"feature-section\"\u003e\n\u003ch3\u003e1. Performance Potential with NVIDIA A100 GPU\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eNVIDIA A100 GPU:\u003c\/strong\u003e Designed for the most demanding computational tasks such as machine learning, deep learning, and big data processing. With 80GB memory per accelerator, they provide high performance and capacity for parallel data processing.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAI and ML Optimization:\u003c\/strong\u003e The server efficiently handles AI and ML tasks, crucial for organizations working with extensive datasets requiring fast computations.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"feature-section\"\u003e\n\u003ch3\u003e2. High Scalability and Flexibility\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eExpansion Support:\u003c\/strong\u003e Supports a wide range of configurations including memory, storage, and other component expansions\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eExtensibility:\u003c\/strong\u003e Ready for future expansion with additional graphics cards and components\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"feature-section\"\u003e\n\u003ch3\u003e3. Security and Reliability\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eIntegrated Security:\u003c\/strong\u003e Features Silicon Root of Trust for protection against hardware and firmware-level attacks\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRedundant Systems:\u003c\/strong\u003e Includes redundant power supplies and enterprise-grade components\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"use-cases\"\u003e\n\u003ch2\u003eIdeal Use Cases\u003c\/h2\u003e\n\u003cdiv class=\"use-case\"\u003e\n\u003ch3\u003eAI and Machine Learning (MLaaS)\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003eTraining and inference of deep neural networks\u003c\/li\u003e\n\u003cli\u003eNatural language processing\u003c\/li\u003e\n\u003cli\u003eComputer vision applications\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp class=\"revenue-potential\"\u003eEstimated monthly revenue: $2,000 - $10,000\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"use-case\"\u003e\n\u003ch3\u003eBig Data and Analytics\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003eProcessing and analyzing large datasets\u003c\/li\u003e\n\u003cli\u003eReal-time data analytics\u003c\/li\u003e\n\u003cli\u003eBusiness intelligence applications\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp class=\"revenue-potential\"\u003eEstimated monthly revenue: $3,000 - $15,000\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"use-case\"\u003e\n\u003ch3\u003eVirtualization and Cloud Computing\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003eRunning multiple virtual machines\u003c\/li\u003e\n\u003cli\u003eCloud infrastructure services\u003c\/li\u003e\n\u003cli\u003eContainer orchestration\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp class=\"revenue-potential\"\u003eEstimated monthly revenue: $2,000 - $10,000\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"use-case\"\u003e\n\u003ch3\u003eEnterprise Applications\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003eHigh-performance databases\u003c\/li\u003e\n\u003cli\u003eEnterprise resource planning (ERP)\u003c\/li\u003e\n\u003cli\u003eCustomer relationship management (CRM)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp class=\"revenue-potential\"\u003eEstimated monthly revenue: $1,000 - $7,000\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"configuration\"\u003e\n\u003ch2\u003eConfiguration Options (CTO - Configure to Order)\u003c\/h2\u003e\n\u003cp\u003eThe server can be customized to meet specific organizational requirements, including processor, memory, storage, and networking components configurations.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"HP","offers":[{"title":"Default Title","offer_id":49282689007944,"sku":"","price":43555.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0843\/5479\/3800\/files\/hpe-proliant-dl385.jpg?v=1778668411","url":"https:\/\/kentino.se\/products\/hpe-proliant-dl385","provider":"Kentino","version":"1.0","type":"link"}