Digital Edge and B.Grimm Power to Launch AI Data Centers in Thailand

Jun 9, 2025
Digital Edge and B.Grimm Power have announced a joint venture to develop hyperscale and AI-ready data center campuses in Thailand, starting with a 100 MW project in the Eastern Economic Corridor.

Digital Edge and B.Grimm Power have announced a strategic joint venture to develop hyperscale and AI-ready data center campuses across Thailand, starting with a 100 MW flagship project in the Eastern Economic Corridor (EEC) announced in a press release. The partnership, operating under the brand name 'Digital Edge DC', plans to invest approximately $1 billion in this initiative.

The flagship project in Chonburi province has received approval from the Thailand Board of Investment and is set to become a critical hub for AI and cloud service providers in Southeast Asia. The data center will offer high-density colocation, interconnectivity, and hybrid cloud solutions tailored for hyperscalers and AI workloads, with a target readiness for service (RFS) in Q4 2026.

Digital Edge, backed by Stonepeak, is known for its energy-efficient data centers across Asia Pacific, while B.Grimm Power is a leading energy producer in Thailand with a focus on sustainable energy solutions. This collaboration aims to support Thailand's digital transformation and its ambition to become a regional digital hub.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Silicon Brief or Daily AI Brief.

Also, consider following us on social media:

Free newsletter

Silicon Brief

Weekly coverage of AI hardware developments including chips, GPUs, cloud platforms, and data center technology.

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more
Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.