Governments worldwide are debating how to secure AI sovereignty, weighing opportunities for economic growth against the risks of relying on foreign technology. Cloudflare argues the answer lies in choice — giving nations control over data, freedom from vendor lock-in, and access to interoperable tools across a resilient digital supply chain.
The company is extending this philosophy through its global edge network of 330 cities in 125 countries, enabling developers to deploy AI applications at scale without the high upfront cost of centralized infrastructure. By prioritizing distributed inference, serverless pay-as-you-go pricing, and open standards, Cloudflare is lowering barriers for businesses, institutions, and governments to build and adopt AI.
A key part of the strategy is supporting regional initiatives. Cloudflare’s Workers AI platform now hosts locally developed, open-source models from India, Japan, and Singapore:
- India: Hosting IndicTrans2 from AI4Bharat, part of the government’s Bhashini program, to enable translation across 22 Indic languages.
- Japan: Offering Preferred Networks’ PLaMo-Embedding-1B, a Japanese text embedding model backed by the government’s GENIAC accelerator.
- Singapore: Bringing SEA-LION v4-27B, a multimodal, multilingual model under the country’s National AI Strategy 2.0, to global developers.
Cloudflare says the move demonstrates that AI sovereignty is not about isolation but about options. By open-sourcing and distributing these models, nations are ensuring innovation reflects their cultural and linguistic diversity, while developers gain tools to build applications tuned to local needs.
