Server Huawei Atlas 800I A3

885 434  €
731 764  €
+ 153 670  € VAT
New
In stock
AI Server
Specification
Manufacturer
Huawei
CPU Preconfigured (new)
4x Kunpeng 920 (64c/64t, 2.6Ghz, 180W)
RAM Preconfigured (new)
2000GB (DDR5 ECC REG)
GPU
8 x Ascend 910C
Full Specs
Price
885 434  €
731 764  €
+ 153 670  € VAT
Allocate VAT
Free UK shipping over 600  €
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Huawei Atlas 800I A3 8NVMe+2SFF — Specifications

Condition
New
Manufacturer
Huawei
CPU Preconfigured (new)
4x Kunpeng 920 (64c/64t, 2.6Ghz, 180W)
RAM Preconfigured (new)
2000GB (DDR5 ECC REG)
NIC card
8x 400GE QSFP-DD + 56x 400GE QSFP-DD
GPU
8 x Ascend 910C
Accelerator manufacturer
Huawei
Accelerator model
Huawei Ascend 910C NPU
Installed GPU/APU count
8 NPUs
Maximum GPU/APU count
8 NPUs per server; up to 384 NPUs in a supported supernode
Memory per accelerator
128GB
Total accelerator memory
1024GB
GPU memory type
HBM
Accelerator memory bandwidth
3.2TB/s per NPU
Accelerator form factor
Integrated supernode NPU modules
Accelerator interconnect
Huawei high-speed D2D supernode fabric, 784GB/s bidirectional bandwidth per NPU
Accelerator-to-CPU interface
PCIe 5.0
Supported compute data types
FP16 and INT8
Accelerator virtualization
Ascend device passthrough and containerized deployment through the CANN 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
14.6kW
Cooling
Air cooling; each NPU drawer uses 5 hot-swap fan modules with 4+1 redundancy
Recommended workloads
Large-model inference, high-concurrency generative AI services, retrieval-augmented generation, enterprise knowledge systems, financial AI and supernode-scale distributed inference
Dimensions
442 x 447 x 920 mm (H x W x D)

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