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It uses a professional embedded processor, small local flash memory, and simplified OS for desktop access. The TC sends the inputs of the mouse and keyboard to the background server for processing.
Parent Topic: QingTian Enclave Overview
MRS optimizes software and hardware based on Kunpeng processors to fully release hardware computing power and achieve cost-effectiveness.
Processors Conditions Parallel Processor Delay EDI Processor Variable Assignment Variable Updater Sorter Data Conversion Splitter Filter Script Message Logger Data Mapper Iterator Error Monitoring End Symmetric Encrypt/Decrypt Asymmetric Encrypt/Decrypt XML Verification
Ultra-high Performance Computing ECSs Overview Ultra-high performance computing ECSs are designed to meet high-end computational needs, such as industrial simulation, molecular modeling, and computational fluid dynamics.
Volcano Scheduling Volcano Scheduling Overview Scheduling Workloads Resource Usage-based Scheduling Priority-based Scheduling AI Performance-based Scheduling Queue Scheduling NUMA Affinity Scheduling Application Scaling Priority Policies Parent Topic: Scheduling
Table 2 Synchronous replication constraints Constraint Description Compute Constraints on server types: Kunpeng ECSs are not supported. x86-based, GPU-accelerated and FPGA-accelerated ECSs are not supported.
For details, see A Summary List of x86 ECS Specifications and A Summary List of Kunpeng ECS Specifications. For more constraints on using networks, see Notes and Constraints.
Large-Memory ECSs Overview Large-memory ECSs provide an even larger amount of memory than memory-optimized ECSs.
General Computing DeHs Overview General-computing DeHs can accommodate ECSs with regular workloads and short-term workload surges. They use a CPU-unbound scheduling scheme. vCPUs are randomly allocated to idle CPU hyper threads based on the system loads.
To prevent services from being affected by inconsistent processor names in the OS, the processors are named General Purpose Processor.
Table 2 Recommended server type Server Model Description NPU/GP Atlas 800 AI server (model 3000) CPU: 2 x Kunpeng 920 5220 Memory: 256 GB DDR4 Hard disk: 2 x 480 GB SATA-SSD + RAID 0/1/5 Atlas 300I Pro: up to eight cards supported NIC: 2 x dual-port 25GE NIC (Mellanox CX4) Altas 300I
HPC Cluster (Kunpeng BMS)
HPC Cluster (Kunpeng BMS)
Maximum PPS: 5,000,000 Maximum intranet bandwidth: 25 Gbit/s Ultra-high I/O I9 Overview I9 ECSs use the next-generation processor, Huawei Cloud QingTian architecture, and large-capacity high-performance local NVMe SSDs to provide high storage IOPS and low read/write latency.
AI computing is 3 to 5 times better with NUMA BMSs and high-speed InfiniBand network cards. Highly Available and Secure HA: CCE supports three control plane nodes on the cluster management plane. These nodes run in different regions to ensure cluster HA.
Viewing the statistics of test coupons Click Show Overview on the Test Coupons page to show the statistics of the test coupon usage in the current account. Parent topic: Partner Benefit Request
Parent topic: Overview
Kunpeng architecture The Kunpeng architecture uses the reduced instruction set computer (RISC). RISC a microprocessor architecture with a simple collection and highly customized set of instructions.
For details about vCPUs, memory, and specifications of an ECS, see A Summary List of x86 ECS Specifications and A Summary List of Kunpeng ECS Specifications. For details about the operating systems supported by an ECS, see Image Types.
