Back
CoreWeave enters Indonesia with 360-megawatt AI data center expansion

CoreWeave enters Indonesia with 360-megawatt AI data center expansion

The company is adding three facilities in its first Asia-Pacific buildout as it lifts 2026 capital spending and expands customer deals with Meta and Anthropic.

Fact Check
The official CoreWeave/Business Wire press release confirms three data centers in Indonesia totaling 360 MW of contracted power as CoreWeave's first Asia-Pacific move. Finimize corroborates the 360 MW/three-facility Indonesia entry, elevated 2026 capital spending, and the customer deals with Meta ($21 billion) and Anthropic. Forbes independently confirms the expanded Meta agreement, the Anthropic deal, and that 2026 capex roughly doubles to $30-35 billion. Every element of the claim is supported by primary and secondary sources with no conflicting evidence.
    Reference: 123
Summary

CoreWeave said it will expand into Indonesia with three new data centers, its first physical data center footprint in Asia-Pacific, adding 360 megawatts of contracted power capacity and owning and operating all of the facilities. The company said it is building out the network to meet rising demand from Asian enterprises, AI-native companies and governments that need lower-latency computing and data-localized AI infrastructure. The plan also includes recruiting and training a local operations team to support the sites and help develop the domestic AI ecosystem. CoreWeave said it operated 49 data centers globally as of March 2026. The company has been increasing spending to keep up with AI cloud demand and expects 2026 capital expenditure of between $31 billion and $35 billion. CoreWeave has also signed or expanded several large cloud agreements this year, including a bigger $21 billion pact with Meta and a multi-year deal with Anthropic. Shares closed up 7.16%, lifting the company’s market value to $50.1 billion, before slipping 1.24% in after-hours trading to $90.76.

Terms & Concepts
  • contracted power capacity: Electricity capacity committed for a data center or similar facility.
  • data locality: The need to keep data and computing close to users or where the data is generated.
  • AI cloud infrastructure: Cloud systems built to run artificial intelligence training and inference workloads.