Flopper.io
Flopper.io System Specification Sheet

Huawei Atlas 650E

8x Ascend 950DT Da Vinci v3 rack 2026

Overview

6.43
FP8 PFLOPS Dense
0.8 TB
Aggregate Memory
32.0 TB/s
Aggregate Bandwidth
14.5 kW
Aggregate Power

Performance Metrics

PrecisionPeak (PFLOPS)Per GPU (TFLOPS)TFLOPS/W
FP163.4425.0
BF163.4425.0
FP86.4803.8
FP412.51560.0

All figures are dense. Vendors commonly headline the sparse number, which is twice the dense one.

Configuration

Accelerator
Ascend 950DT
Count
8
Memory per GPU
144 GB
Bandwidth per GPU
4.0 TB/s

Power & Efficiency

Aggregate Power
14.5 kW
TDP per GPU
FP8 Efficiency
0.44 TFLOPS/W
Aggregate Bandwidth
32.0 TB/s

System Details

Vendor: Huawei
Family: Atlas
Architecture: Da Vinci v3
Form Factor: rack
Release Year: 2026
Process Node:

Interconnect

UnifiedBus (Lingqu): 8 x 784 GB/s bidirectional within a node, 2 x 8 x 1.68 TB/s across a two-node pair; UBoE direct from NPU and RoCE both at 400 Gbps per NPU

Notes

A 14U air-cooled rack server with eight Ascend 950DT NPUs and two Kunpeng 950 CPUs, built for ordinary air-cooled machine rooms rather than liquid-cooled halls. Huawei rates it at 12.48 PFLOPS mxFP4, 6.43 PFLOPS across mxFP8, FP8 and HiF8, and 3.40 PFLOPS FP16/BF16, with 768 GB of on-chip HBM across the eight NPUs at up to 4.0 TB/s each. Two machines can be joined over UnifiedBus into a sixteen-NPU full-mesh. Power is up to 14.5 kW from six hot-swap 3.0 kW supplies in 5+1 redundancy, cooled by thirty hot-swap fan modules. Note that the per-NPU figure works out at 1.56 PFLOPS mxFP4, below the 1.95 PFLOPS the same Ascend 950DT reaches in the liquid-cooled Atlas 950 SuperPoD: this is a de-rated air-cooled bin, not a transcription error, and should not be reconciled upward. Huawei labels none of these figures dense or sparse and publishes no sparse rate; its asterisk on the compute row means only that the values are theoretical and measured results may differ by under one percent.