Tenders Are Invited For Super Computer - Delivery, Installation And Configuration Of A High-Performance Configuration For The Expansion Of An Existing Computing Array With Configured Solutions For Tabular Management Of Large Data Sets And Distributed Processing Of Big Data (Big Data)

Super Computer - Delivery, Installation And Configuration Of A High-Performance Configuration For The Expansion Of An Existing Computing Array With Configured Solutions For Tabular Management Of Large Data Sets And Distributed Processing Of Big Data (Big Data). The Subject Of The Order Is: Delivery, Installation And Configuration Of A High-Performance Configuration For The Expansion Of An Existing Computing Array With Configured Solutions For Tabular Management Of Large Data Sets And Distributed Big Data Processing. Delivery, Installation And Configuration Of The High-Performance Configuration Must Be Carried Out Under The Following Conditions: High-Performance Configuration - 1 Pc.: Cpu: Minimum 2 Processors Each With A Minimum Of 16 Cores/32 Threads Ram: Minimum 128 Gb, Ecc Ddr4 Gpu: - Min. 400 Accelerator Cores For Data-Mixed Dynamic Computing; - Min. 15,000 Cuda Cores For Floating-Point Computing; - Output Rendering Unit: 80 - Performance: O For Fp64: Min. 900 Gflops O For Fp32: Min. 60 Tflops - Gpu Memory: Min. 48 Gb Gddr6; - Supported Api Environments: Opencl, Cuda, Vulkan, Opengl Minimum 4X 2.5 Hot-Swap Hdd/Ssds Slots; Ssd: Minimum 10 Tb Sata, 2.5; Raid Support; Connectivity: 1 Gbe Rj45 4-Port; 10/25Gbe Sfp28 2-Port Pcie; Power Supply: Dual, Hot-Swap; Tpm Module; Management Port ; Built-In Controller For Monitoring System Parameters; Installation And Integration With Existing Array; Rack Performance; With Software Solutions Included: 1. Server Catalog Accessible Via Rest Api Track Namespaces And Tables In A Simple Jdbc Database Transactional Catalog That Tracks Namespaces And Tables In A Database With Git-Like Version Control Ability To Track Status Of A Given Database Over A Period Of Time Supported Data Types: Nanosecond Timestamp(Tz), Unknown, Variant, Geometry, Geography Support For Default Values For Columns Support For Multi-Argument Transformations For Splitting And Sorting Binary Erasure Vectors Support Key Support For Aes Gcm Stream Table Encryption Using Standard Aeg Gcm Cipher And Supporting All Aes Key Sizes: 128, 192 And 256 Bits. Metadata Encryption Support: Enable Encryption Of Manifests, Manifest Lists, Snapshots And Statistics. Avro Data Encryption Support: Enable Encryption Of Data Files In Tables That Use The Avro Format. Ability To Integrate With Dells Enterprise Object Storage (Ecs) And Aws S3. Java And Python Support. 2. Capable Of Unified Real-Time Batch And Streaming Data Processing Using: Python, Sql, Scala, Java Or R. Capable Of Running Fast, Distributed Ansi Sql Queries For Dashboards And Ad-Hoc Reports. Ability To Train Machine Learning Algorithms On A Laptop And Scale To Clusters Of Thousands Of Machines. Perform Exploratory Data Analysis (Eda) On Petabyte-Scale Data Without The Need For Downsampling Installable On A Kubernetes Cluster. Ability To Process Graphs And Parallel Graph Computations Provision Of Technical Tools (Libraries) For Machine Learning Through: •