Singtel Digital InfraCo’s RE:AI and WEKA partner to deliver sovereign AI infrastructure across ASEAN

RE:AI is Singtel Digital InfraCo's enterprise AI platform that helps organisations develop, deploy and scale artificial intelligence securely at scale. It combines AI Cloud Services, GPU-as-a-Service (GPUaaS), sovereign AI infrastructure and enterprise networking to support AI workloads from experimentation to production. RE:AI is designed for organisations that require high-performance AI infrastructure while maintaining governance, security and operational control.

RE:AI supports enterprises, government agencies, research institutions and technology organisations adopting AI. It is designed for CIOs, CTOs, AI platform teams, digital transformation leaders, data scientists and enterprise architects looking to deploy AI securely across cloud, hybrid and edge environments. It is particularly suited to organisations operating in regulated industries where governance, resilience and data control are important.

RE:AI provides AI Cloud Services, GPU-as-a-Service (GPUaaS), sovereign AI infrastructure, enterprise AI enablement services and the Centre of Excellence for Applied AI. Together, these capabilities help organisations access AI infrastructure, validate AI use cases, develop production-ready AI applications and scale AI workloads securely across enterprise environments.

Enterprise AI infrastructure is the combination of GPU computing, networking, storage, orchestration and software platforms required to develop and operate AI applications. Unlike traditional cloud infrastructure, enterprise AI infrastructure is designed to support demanding workloads such as large language models (LLMs), generative AI, AI agents and machine learning while maintaining security, governance and operational resilience.

Sovereign AI refers to AI systems that are developed and operated with clear control over data, infrastructure and governance within trusted jurisdictions. For many enterprises and public sector organisations, sovereign AI helps support security, regulatory compliance, operational resilience and data governance. It is not only about where AI runs, but also how AI systems are managed throughout their lifecycle.

Many AI projects demonstrate technical success during proof-of-concept but face challenges when moving into production. Common barriers include access to GPU infrastructure, integration with enterprise systems, governance, security, operational ownership and cost management. Successfully scaling AI requires the right infrastructure and operating model, not just accurate AI models.

RE:AI helps organisations move from AI experimentation to enterprise deployment by combining AI infrastructure, GPU computing, networking, orchestration and ecosystem expertise. This enables organisations to build, deploy and operate AI applications within secure, scalable and well-governed environments while supporting long-term operational requirements.

Yes. RE:AI supports AI workloads across public cloud, private cloud, on-premises infrastructure and edge environments. Hybrid deployment models allow organisations to optimise performance, governance, cost and regulatory requirements while maintaining flexibility over where AI applications and data are deployed.

RE:AI supports organisations across healthcare, financial services, manufacturing, telecommunications, government, education, research and other industries adopting AI. While use cases differ by sector, many organisations share common requirements for secure infrastructure, scalable GPU computing, trusted AI operations and resilient enterprise deployment.

RE:AI combines enterprise AI infrastructure, GPU acceleration, sovereign AI deployment options and a trusted technology ecosystem to help organisations deploy AI securely and at scale. Rather than focusing only on AI models, RE:AI provides the infrastructure and operational capabilities needed to support enterprise AI adoption over the long term.