Huawei Atlas 800I A2 8SFF+ 2SFF/NVMe
- Condition
- New
- Manufacturer
- Huawei
- Form factor
- 4U
- CPU
- 4x Kunpeng 920 (64c/64t, 2.6Ghz, 180W)
- RAM
- 512GB (DDR4 ECC REG)
- GPU
- 8 x Ascend 910B
- Accelerator manufacturer
- Huawei
- Accelerator model
- Huawei Ascend 910B NPU
- Installed GPU/APU count
- 8 NPUs
- Maximum GPU/APU count
- 8 NPU modules
- Memory per accelerator
- 64GB
- Total accelerator memory
- 512GB
- GPU memory type
- HBM
- Accelerator memory bandwidth
- 800GB/s per NPU
- Accelerator form factor
- Integrated HCCS NPU modules
- Accelerator interconnect
- 392GB/s
- Accelerator-to-CPU interface
- PCIe 4.0
- Supported compute data types
- FP32, FP16 and INT8
- Accelerator virtualization
- Huawei vNPU compute-resource partitioning, device passthrough and container deployment through the Ascend software stack
- MIG support
- Not applicable; NVIDIA MIG is not used on Huawei Ascend accelerators
- Software ecosystem
- Huawei CANN, MindSpore, MindIE, AscendCL and the PyTorch Adapter for Ascend
- Maximum system power
- 10.4kW
- Cooling
- Air cooling with 8 hot-swap fan modules and N+1 fan redundancy
- Recommended workloads
- Enterprise LLM inference, generative AI services, retrieval-augmented generation, intelligent customer service, content generation, knowledge processing and high-throughput AI inference
- Dimensions
- 175 x 447 x 790 mm (H x W x D)
Need a technical consultation on choosing a server?
Submit a requestHuawei Atlas 800I A2 8SFF+2SFF/NVMe is a 4U enterprise AI inference server storage configuration with eight 2.5-inch SATA bays plus two 2.5-inch NVMe bays. It is designed for enterprises, service providers and public-sector organizations that need scalable large-model inference with separate capacity and low-latency storage tiers.
Key features:
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Storage basket and service access: The configuration provides eight 2.5-inch SATA bays plus two 2.5-inch NVMe bays. The defined 8+2 topology keeps the SATA capacity tier separate from the two low-latency NVMe positions and supports front-accessible drive servicing.
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Storage topology: This basket is the official 8 x SATA + 2 x NVMe option. The alternative 4 x SATA + 6 x NVMe arrangement is a different storage topology.
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Installed accelerator subsystem: The installed AI subsystem contains 8 Ascend 910B accelerators and is optimized for high-throughput inference workloads.
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Enterprise compute platform: The compute subsystem uses 4 Kunpeng 920 processors and 512GB of DDR4 ECC registered memory for model serving, data preparation and production services.
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Management, networking and availability: Eight 200GE QSFP ports, RAID support for the SATA tier, 4 hot-swap 2.6kW power modules in 2+2 redundancy and N+1 hot-swap fans support scale-out deployment and service continuity.
Use cases:
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Large-model inference: Runs generative AI, LLM and multimodal inference with the installed Ascend accelerator subsystem.
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Enterprise content and knowledge services: Supports intelligent search, content generation, knowledge retrieval and customer-service automation.
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Distributed inference clusters: Uses high-speed RoCE connectivity to scale inference services across multiple nodes.
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Data staging and model serving: Uses the defined SATA and NVMe tiers for operating data, models, caches and service logs.
Huawei Atlas 800I A2 8SFF+2SFF/NVMe is a purpose-built storage configuration for organizations that need an 8-SATA plus 2-NVMe basket, 8 installed Ascend 910B accelerators and high-speed scale-out networking in one 4U inference platform.
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