DeepSeek
DeepSeek is a Chinese AI company that develops foundation models, publishes research and model weights, and operates consumer chat and developer API products. Bloomberg reported on July 31, 2026 that it is planning a massive AI data center in Inner Mongolia, but DeepSeek has not published a matching first-party project announcement.
DeepSeek is no longer only a model-name keyword. Readers need one stable company page that connects its chat product, API, open-weight releases, agent integrations, and reported infrastructure expansion without turning a media report into an official commitment.
DeepSeek's official site, API documentation, and GitHub organization establish the company's live chat, API, research, and open-weight model surfaces. Bloomberg's verified business account reported a planned massive data center in Inner Mongolia on July 31. That report is credible secondary evidence of an infrastructure plan, not first-party confirmation of capacity, exact location, hardware, budget, construction status, or completion date.
- Understand DeepSeek as a company across chat, API, research, and open-weight releases.
- Navigate to current DeepSeek V4 model and agent-integration pages.
- Evaluate infrastructure reports without treating them as product-release facts.
- Separate company-level developments from model IDs, prices, and API availability.
DeepSeek's official surfaces connect three reader jobs: use DeepSeek Chat, call models through the developer API, and inspect research or model repositories. Those surfaces make DeepSeek the stable parent entity for model-specific pages such as V4 Flash and V4 Pro.
- Consumer surface: DeepSeek web chat and app links.
- Developer surface: API platform, documentation, pricing, and service status.
- Research surface: technical reports, model repositories, and released weights.
Bloomberg reported that DeepSeek is planning to build a massive data center in Inner Mongolia as it competes with Silicon Valley model developers. DeepSeek's current official site and API documentation do not announce the project. The correct public status is therefore “Bloomberg-reported plan,” not “DeepSeek officially launched or completed a data center.”
The cited Bloomberg post does not by itself establish a one-gigawatt capacity, a precise city, chip supplier, budget, construction milestone, or 2027 completion date. Those details should remain out of the company page until they are supported by the underlying report, a filing, procurement record, or a first-party DeepSeek statement.
A planned data center may matter for future training capacity, inference supply, latency, and cost, but it does not automatically change a current model ID, price, context window, rate limit, or availability status. Use DeepSeek's API documentation and model-specific pages for current production decisions.
Public-beta API model with native Responses API support and an official Codex integration path.
Long-context V4 preview API model whose official release remains forthcoming.
Third-party terminal coding agent documented as a DeepSeek API integration.
Tesla China in-car AI feature whose localized stack has also been reported to use DeepSeek for some interactions.
DeepSeek FAQ
Common questions about DeepSeek.
Is DeepSeek building a data center in Inner Mongolia?+
Bloomberg reports that DeepSeek is planning a massive AI data center in Inner Mongolia. DeepSeek has not published a matching first-party announcement on the official surfaces cited here, so treat it as a credible reported plan rather than a confirmed construction or completion milestone.
Does the reported data center change DeepSeek API pricing or models now?+
No current API change follows automatically from the report. Use DeepSeek's official API documentation for model IDs, prices, limits, and availability, and treat infrastructure plans as a separate company-level development.
Is every DeepSeek model open source?+
No single label covers every DeepSeek surface. DeepSeek publishes research, repositories, and model weights, while hosted chat and API products have separate service terms and model-specific licenses. Verify the exact repository, license, and deployment surface for each model.