- Application
- Backup
- Cloud
- Cloud Native
- Compliance
- Container Orchestration
- Control Plane
- Cybersecurity
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- Data Protection
- Data Residency
- Enterprise
- Government
- High performance computing
- Hyperscale
- Inference
- Infrastructure-as-Code
- Kubernetes
- Latency
- Market
- Model Training
- Object Storage
- Orchestration
- Private Cloud
- Public Cloud
- Public Sector
- Regional cloud provider
- Services
- Software Defined Networking
- Storage
- Virtual Networking
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Who is Cloudeka?
Cloudeka is a cloud computing company that delivers infrastructure, platform, and GPU-accelerated compute services for enterprise and public sector workloads, with hosting positioned within Indonesia.
- Infrastructure as a service with virtual machines, block and object storage, and virtual networking
- Container orchestration and managed Kubernetes for cloud-native application deployment
- GPU cloud capacity for AI training, inference, and high-performance computing workloads
- Data protection, backup, and identity-aware security controls for hybrid enterprise environments
- In-country hosting and data residency options aligned with regional compliance requirements
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More About Cloudeka
Cloudeka is positioned as a regional cloud services provider serving enterprises, government bodies, and technology teams that require infrastructure hosted within Indonesia. Its offerings are typically considered by organizations seeking an alternative to global hyperscale platforms, particularly where data residency, latency, or sovereignty requirements shape architecture decisions.
Architecturally, the service portfolio centers on virtualized compute, software-defined networking, and distributed storage delivered through an API-driven control plane. Container-based workloads commonly run on Kubernetes-based orchestration, while infrastructure provisioning is often handled through infrastructure-as-code tooling. Industry-standard interfaces, such as REST APIs and S3-compatible object storage, are common in this category and support workload portability between environments.
The GPU-accelerated segment addresses demand for AI model training, fine-tuning, and inference. Enterprises running these workloads face capital-intensive hardware requirements, so rented accelerator capacity offers a way to scale experiments without owning dedicated clusters. Comparable solution categories include hyperscale public cloud platforms, regional cloud providers, and colocation-based private cloud offerings. Cloudeka competes most directly with regional and alternative cloud providers, where local presence and localized support are principal differentiators.
The business significance of these offerings lies in their potential to simplify compliance for regulated sectors such as financial services, public administration, and healthcare, where in-country hosting can support data protection obligations. Technical teams gain consistent operational tooling across development, testing, and production environments. Directory positioning reflects current solution areas in infrastructure as a service, container platforms, and AI compute, which align with the regional cloud provider segment of the cloud platforms market.
Our description of Cloudeka. Updated October 2026.