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Sugon scaleX superpods — specified, not guessed

China-built AI superpods with Hygon DCU accelerators and the scaleFabric interconnect. We work out the full configuration — including the per-accelerator figures Sugon supplies only on request, and the ones it still will not state — and source it for the markets where it deploys.

Maintained by Haink's AI infrastructure team · Updated September 2026

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The systems, specified

scaleX40-3G40 DeepComputing 3 accelerators · 144 GB and 2.4 TB/s per card · 5,760 GB HBM · 28.3 PFLOPS FP8 · 448 GB/s peer-to-peer HSL · 45 kW in 16U — 5.1× a DGX H200 on pooled accelerator memory, 1.8× on FP8. Full specs →
scaleX640640 accelerators in a single cabinet under phase-change immersion, PUE 1.04 — one scale-up domain, or partitioned to your workload. Full specs →
scaleFabricThe interconnect underneath — 400G adapters, 800G switch ports, 64 Tb/s aggregate, 0.9 µs end to end, scaling toward a 114,000-card ceiling. Full specs →
The rest of the stack:ParaStor storage and Sugon liquid cooling are specified alongside the compute. Sugon guide →

How we quote it

Specified firstSugon publishes no list part numbers and no prices. We build the bill of materials from the actual configuration, so a quote is comparable — not a placeholder.
Sourced for the marketAvailability, lead time and terms are confirmed per configuration and destination — not promised from a shelf.
Honest on the unknownsWhere a figure is unpublished or a claim is the vendor's own, we say so — including the specs Sugon states only on request, and the three it still does not state at all.

Weighing it against NVIDIA? See scaleX40 vs DGX H200 vs B300 and the Chinese superpod comparison.

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Tell us the target — accelerator count, workload or scaleX model — and we come back with a specified quote within one business day.

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