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Based on a fully modular design, offers acceleration of diverse applications such as AI reasoning systems, High-Performance Computing (HPC), and database. Supports long-term evolution of CPU and heterogeneous components.
Atlas G530 V5
The Huawei Atlas G530 V5 is a half-width heterogeneous computing node that delivers high-density heterogeneous compute power and supports diverse CPU:GPU configuration ratios. The server uses a fully modular design, with independent CPUs and a heterogeneous unit. The Atlas G530 V5 is the optimized heterogeneous computing platform for AI inference, HPC, intelligent cloud, and database acceleration.
The half-width heterogeneous computing node supports up to 16 half-height, half-length or 4 full-height, full-length heterogeneous accelerator cards.
Support for GPUDirect RDMA and Peer-to-Peer interconnect technologies enables direct memory access for multiple GPU cards.
Flexible Topology Configuration
Flexible configuration supports a range of different CPU/GPU configuration ratios to meet diverse applications.
With decoupled CPU and heterogeneous modules, the CPU and heterogeneous units are supported for Long-Term Evolution (LTE). The Power Supply Units (PSUs), hard drives, and fan modules are also modular to support hot-swap, redundancy backup, and simplify O&M.
|Form Factor||Half-width heterogeneous computing node|
|GPU Accelerator Cards||Up to 16 NVIDIA® Tesla® PCIe P4 or 4 PCIe V100/P100/P40 or 8 PCIe V100 (150 Watt)|
|Processors||2 Scalable processors|
|Memory||Up to 24 DDR4 DIMMs|
|Internal Storage||16-P4 model: 2 x 2.5-inch NVMe SSDs or SAS/SATA HDDs
4 dual-slot GPU model or 8 single-slot GPU model*: 4 x 3.5-inch SSDs or SAS/SATA HDDs and 2 x 2.5-inch NVMe SSDs or SAS/SATA HDDs
|RAID Support||RAID 0, 1, 10, 5, 50, 6, or 60
Providing a supercapacitor to protect data in the case of power failures
|Management||On-board iBMC management module
Supports management features such as IPMI, SOL, KVM over IP, and virtual media
|Operating Temperature||5°C to 35°C|
* The model supporting 8 single-slot GPUs will be launched in Q3 2018.