GMI Cloud Unveils $500M Nvidia-Powered AI Data Center in Taiwan, Promises 2M Tokens/sec

GMI Cloud has announced a $500 million investment to build a large-scale, Nvidia-powered AI data center in Taiwan, positioning itself as a new cloud rival to Google in the Asia-Pacific market. The facility, GMI says, will be optimized for large language models and inference workloads and is engineered to deliver up to two million tokens per second — a raw throughput metric signaling significant capacity for real-time generative AI applications.

The center will rely on Nvidia accelerators and networking technologies to handle dense model parallelism and low-latency inference. While GMI Cloud provided limited operational details, the company emphasized the project’s focus on hosting LLMs, supporting enterprise AI deployments, and offering managed model-serving services for developers and businesses in the region. The investment underscores growing demand for local AI infrastructure as organizations seek lower latency, data residency, and reduced cross-border bandwidth costs.

For Google — which already operates a broad cloud and AI stack globally — GMI’s announcement represents intensified competition at the regional level. Taiwan’s strong semiconductor ecosystem, skilled workforce, and proximity to major Asian markets make it an attractive location for AI infrastructure. Industry observers say third-party operators that combine hyperscale hardware with managed AI services can win customers who want more specialized or locally compliant options than what hyperscalers provide today.

Beyond raw throughput, the data center’s commercial impact will depend on pricing, service integrations, and ecosystem support, including developer tooling, compliance frameworks, and partnerships with local enterprises. GMI Cloud will need to demonstrate reliability, security, and competitive pricing to lure customers from incumbents like Google Cloud. It also faces execution risks common to large infrastructure projects, such as supply-chain constraints and utility capacity planning.

If delivered as described, the project could accelerate enterprise adoption of generative AI in Asia and catalyze further infrastructure investments. Market watchers will be watching for technical benchmarks, service roadmaps, and announced partnerships that clarify how GMI intends to convert raw token throughput into commercially attractive AI services.