DeepSeek is pushing to bring at least part of the capacity online by the end of 2027 or early 2028. This is an aggressive timeline given the scale of construction and permitting required for a gigawatt-class facility.
The single biggest unresolved question is what chips will power the facility. The U.S. has imposed export controls barring advanced Nvidia GPUs (e.g., H100, H200, Blackwell B200) from entering China. Some reports allege DeepSeek has previously obtained banned Nvidia Blackwell chips through intermediary channels in violation of U.S. sanctions, though this has not been confirmed by the company or U.S. authorities. It is unclear whether DeepSeek plans to rely on domestic alternatives (e.g., Huawei Ascend, Cambricon), stockpiled Nvidia chips, or gray-market procurement for this facility. The choice will determine whether the project is viable under existing export controls or represents a direct challenge to them.
Ulanqab is explicitly designated as a key hub under China's national "East Data, West Computing" (东数西算) policy, which routes compute-intensive workloads from the coastal east to the resource-rich west. The policy provides favorable land prices, electricity tariffs, streamlined approvals, and grid interconnection priority for large data centers in approved western zones.
Inner Mongolia is China's largest renewable energy base, with massive wind and solar farms. This helps DeepSeek secure low-cost green electricity — critical for a 1-GW facility whose largest operating expense will be power.
The region's cold, dry climate for much of the year allows for natural air or evaporative cooling, significantly lowering the facility's power usage effectiveness (PUE) compared to data centers in warmer coastal cities. Ulanqab's average annual temperature is around 4°C.
Ulanqab offers abundant, cheap land for large-scale campus builds while being close enough (350 km, roughly 3 hours by high-speed rail) to Beijing's tech talent and R&D centers.
DeepSeek built its reputation on efficiency breakthroughs — achieving frontier-level model performance with far fewer GPUs than Silicon Valley competitors, training reportedly for under $6 million. This project signals a strategic shift:
Bottom line: This is a strategic escalation. The chip question — which hardware will fill 1 GW — remains the most consequential uncertainty and will determine whether the project is viable under U.S. export controls or represents a direct challenge to them.