Specifications
System Type
4U rack-mounted AI inference server
AI Processors
8x Huawei Ascend 910B NPU
Host CPUs
4x Kunpeng 920 (Kunpeng 920 7265 or 5250)
Host Memory
Up to 512GB DDR4 ECC RDIMM
Networking
High-speed RoCE interfaces for scale-out inference
Storage
8x 2.5-inch bays, plus NVMe options (8SFF+2NVMe config)
Accelerator Interconnect
Huawei HCCS high-speed interconnect
Software Stack
Huawei CANN, MindSpore, AscendCL, PyTorch Adapter (torch-npu), vLLM-Ascend
Supported Precisions
FP32, FP16, BF16, INT8
Virtualization
Huawei vNPU partitioning and container deployment
Cooling
Air cooling with redundant fan modules
Certifications
CE, FCC, RoHS
Overview
The Huawei Atlas 800I A2 is the inference-optimised sibling of the Atlas 800T A2 family. Built on eight Ascend 910B accelerators and four Kunpeng 920 processors, it is a 4U platform engineered for high-density, energy-efficient AI inference in the datacenter.
It targets production inference for large language models, recommendation, video structuring and retrieval-augmented generation, using the same Ascend software stack (CANN, MindSpore, torch-npu, vLLM-Ascend) as Huawei's training platforms. vNPU compute partitioning allows operators to slice accelerator resources across tenants or services.
QS Compute supplies the Atlas 800I A2 for datacenter inference clusters, AI service providers and enterprise LLM deployments seeking an alternative to CUDA-based platforms.
Key Benefits
8x Ascend 910B for dense datacenter inference. Kunpeng 920 host platform with up to 512GB DDR4 ECC. vNPU partitioning for multi-tenant serving. CANN and vLLM-Ascend software support.
Applications
Datacenter LLM inference, recommendation and ranking, video structuring and analytics, retrieval-augmented generation, and AI service provider deployments.
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