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Sovereign Cloud Solution
EasyStack Sovereign Cloud combines ECF (Cloud Infrastructure) and EAF (AI Infrastructure) on the EOS Digital Native Engine — a sovereign, AI-ready private cloud that replaces VMware, meets local data-residency laws, and evolves smoothly from general-purpose compute to AI-optimized compute.
As data sovereignty regulations tighten and AI adoption accelerates, governments and enterprises increasingly require a cloud platform that keeps data, models, and AI workloads within national borders — without sacrificing openness, scalability, or cost efficiency.
EasyStack Sovereign Cloud Solution combines ECF (Cloud Infrastructure Platform) and EAF (AI Infrastructure Platform) on the EOS Digital Native Engine to deliver a sovereign, AI-ready private cloud. It enables organizations to replace VMware, meet local data residency requirements, and evolve smoothly from general-purpose computing to AI-optimized computing.
Smooth evolution from 1-node AI PoC to 3-node HCI to large-scale private cloud and AI compute center.
Data, models and AI workloads stay inside your infrastructure — supported by Indonesia PDP Law, Thailand PDPA, GDPR and other local regulations.
Block-level migration tools, unified pooling and DRS-style multi-dimensional scheduling — without proprietary lock-in.
Unified GPU · NPU · DCU pooling, one-click deployment of DeepSeek, Qwen, LLaMA and GLM, KV-cache offloading and secure container sandbox.
Open API compatible with OpenStack and AWS S3; no hardware binding across mainstream CPUs, accelerators, inference engines and models.
Regulation, licensing economics, AI readiness and regional growth are converging at the same time.
Indonesia's PDP Law, Thailand's PDPA and Europe's GDPR impose strict requirements on where data can be stored and processed — accelerating private-cloud adoption.
Broadcom's acquisition of VMware and subsequent licensing changes have led to price increases of 200% to 1,200% for many enterprise customers.
Enterprises face challenges in GPU supply, data security, and end-to-end AI deployment. Regulated industries such as finance, healthcare, and government require AI training and inference data to remain in private environments.
Regional snapshot — data-center, cloud and IT spending outlook through 2030.
Regulated enterprises face the same five challenges across regions and industries.
Sensitive data must stay within national borders while meeting local audit, encryption and isolation requirements.
Traditional virtualization and proprietary cloud platforms limit architectural freedom and inflate long-term costs.
Heterogeneous accelerators (GPU · NPU · DCU) require unified management, scheduling and security.
Multi-generation, cross-ISA environments (x86 · ARM · RISC-V) create operational complexity and slow modernization.
Many regions face a scarcity of cloud and AI infrastructure professionals — automation and local support are essential.
EOS as the digital-native operating system, ECF for cloud infrastructure, EAF for AI infrastructure — with security, compliance and sovereignty woven through every layer.
The unified cloud base and operating system beneath ECF and EAF.
Production-grade, evolvable private-cloud foundation for general-purpose workloads.
Out-of-the-box, cross-heterogeneous AI infrastructure for training, inference and model services.
Cross-cutting controls that keep data, models and operations demonstrably inside your jurisdiction.
From data residency to heterogeneous AI compute, each capability is production-proven.
What EasyStack Sovereign Cloud delivers
All models and data deployed within national borders; no data leaves the domain.
Supports Islamic financial regulatory policies, data isolation and full audit trails.
Smooth evolution from 1-node AI PoC to 3-node HCI to large-scale private cloud and AI compute center.
No hardware binding; supports mainstream CPUs, AI accelerators, inference engines and models.
Manages x86, ARM and AI accelerators in a single cloud platform with consistent operations.
GPU passthrough, vGPU, MIG, NVLink, RDMA storage network and pre-integrated inference engines.
4-hour deployment, 100+ inspection items, fault self-healing — MTTR reduced to minutes.
99.99% core-business availability with automated fault recovery and OTA smooth upgrades.
Explore how EasyStack Sovereign Cloud powers national clouds and regulated industries across regions.
Government extranet, public services, and internal office systems with multi-level security domain isolation.
Core transaction systems, securities trading, insurance policy management, and AI quantitative research.
Unified cloud infrastructure covering headquarters and secondary units, supporting AI seismic interpretation.
Edge cloud and CDN infrastructure with remote, full-lifecycle management.
Private AI inference for sensitive patient data.
GPU-intensive AI research platforms with high cluster utilization.
Talk to our solution architects about data-residency requirements, VMware replacement paths and heterogeneous AI infrastructure — or download the full solution whitepaper.
