Huawei Atlas 950 SuperPoD
Huawei's 1,024-card Atlas 950 SuperPoD as shown at WAIC 2026: 16 compute cabinets plus 4 UnifiedBus interconnect cabinets (44OU each), up to 1,024 Ascend 950DT, 1,024 x 96 GB on-chip memory at 4.0 TB/s, 1 EFLOPS mxFP8/FP8/HiF8 and 2 EFLOPS mxFP4, 1.72 PB/s total scale-up bandwidth, 256 TB globally addressable memory, fully liquid cooled. Huawei's HC2025 keynote of 18 September 2025 described an 8,192-card configuration of the same product delivering 8 EFLOPS FP8 and 16 EFLOPS FP4. Huawei states no dense or sparse basis for any of these figures. POWER: Huawei publishes no power rating for this machine at either the 1,024-card or the 8,192-card scale. Its only first-party page for the 1,024-card unit (huawei.com/cn/news/2026/7/atlas-950-superpod) carries no watt line at all, the e.huawei.com SuperPoD catalogue does not list the Atlas 950 yet, and Huawei has never published a chip-level power figure for any Ascend part. The 100 kW previously stored here cannot be a whole-SuperPoD rating, since 100 kW over 1,024 cards is 98 W per card; a per-cabinet reading would be arithmetically plausible against the 16 compute cabinets, but no Huawei source has been found for it at any scope, so nothing is stored rather than a rescaled guess.
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System Details
GPU Configuration
System Specifications
Precision Performance Breakdown
| Precision | System Performance | Per GPU | Efficiency |
|---|---|---|---|
| 0.00 EFLOPS | 0 TFLOPS | — | |
| 1.00 EFLOPS | 977 TFLOPS | — | |
| 2.00 EFLOPS | 1,953 TFLOPS | — |
Where a vendor states a basis, the figure shown is the dense one, and any figure it publishes is listed separately. Vendors commonly headline the sparse number instead: for NVIDIA's 2:4 structured sparsity that is exactly twice the dense figure, though other vendors' sparse modes do not all follow that ratio.
Powered by Huawei Ascend 950DT
This system utilizes 1024 × Huawei Ascend 950DT GPUs, each delivering exceptional performance for AI and HPC workloads.
Per GPU TDP
—
Per GPU Memory
144 GB
Process Node
—
Architecture
Da Vinci v3
Frequently asked questions
How much does the Atlas 950 SuperPoD cost?
Huawei sells the Atlas 950 SuperPoD on quote through OEMs and resellers, and Flopper has no live rental listing for its Ascend 950DT accelerator to derive an hourly figure from. System rental pricing →
How much power does the Atlas 950 SuperPoD require?
Huawei has not published a power figure for the Atlas 950 SuperPoD, and Flopper does not derive one from the accelerator count because the rest of the system draws power too.
How many GPUs are in the Atlas 950 SuperPoD?
1024. The Atlas 950 SuperPoD carries 1024 Huawei Ascend 950DT accelerators in a pod form factor, and every throughput figure on this page is the total across them. Ascend 950DT specifications →
Documentation & Resources
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Flopper Spec Sheet
Huawei Atlas 950 SuperPoD specifications, generated from our database. Printable.
Vendor product page
Huawei Atlas 950 SuperPoD documentation
Huawei HiSilicon Da Vinci architecture, Hot Chips 31 (2019)
Huawei • 2019-08-19
Typical Use Cases
The Huawei Atlas 950 SuperPoD runs 1024× Ascend 950DT GPUs over UnifiedBus 2.0 (Lingqu) all-optical, 1.72 PB/s aggregate scale-up, 64 x 1.68 TB/s bidirectional per cabinet, delivering 1.00 EFLOPS FP8 dense.