Why data residency is now a board-level AI priority
How regulatory pressure and IP protection are pushing enterprises toward private AI environments.
Read articleSovereign AI infrastructure combining available GPU hosting, private LLM deployment and fully managed AI environments for businesses that require security, control and data residency.
Available GPU Compute. Reserved exclusively for your workloads.
Available GPU resources for training, fine-tuning, and inference.
Secure networking, storage, isolated environment.
Monitored & maintained 24/7 by our Singapore team.
Every AI interaction contains valuable business knowledge, including customer information, financial records, proprietary workflows and internal documents. With public AI, that data may leave your controlled environment. A private AI platform ensures your data, models and business intelligence remain isolated, secure and exclusively yours.
Data control, privacy and compliance have moved from IT concerns to board-level priorities.
Private infrastructure gives you full control of data, models and workloads.
Owning AI infrastructure means paying for all of this upfront:
iWV delivers all of it as one fully managed service.
Building AI takes far more than GPUs.
We manage the infrastructure so your team can build and deploy.
Accelerate development and spend your funding on the product, not the infrastructure.
Launch on production-ready infrastructure while keeping your data under your control.
Host private LLMs for knowledge management, AI assistants, automation, and business intelligence while keeping your data under your control.
Built for strict data residency and compliance requirements.
Remain under your control.
Immediate GPU access with no shared queues.
Isolated, secure, sovereign.
Built, monitored, and managed by iWV.
High-performance compute without hardware investment.
A dedicated environment that keeps data secure, private and protected.
Expertise without the cost of an infrastructure team.
A low entry point today, with room to scale up as you grow.
Your data stays private and under your control. The training data, AI models, and workloads that power your AI remain within your environment.
Training data stays within your environment
Model parameters remain private
No dependency on shared platforms
Infrastructure designed around your security requirements
| Public Cloud AI | ||
|---|---|---|
| Infrastructure | Shared environment | Dedicated private environment |
| Data control | Provider-controlled policies | Customer-controlled environment |
| GPU resources | Shared / usage based | Available GPU infrastructure |
| Pricing | Variable consumption cost | Predictable monthly subscription |
| Hardware | Customer manages procurement | iWV manages infrastructure |
| Support | Platform support | Managed AI infrastructure support |
How regulatory pressure and IP protection are pushing enterprises toward private AI environments.
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Read articleSpeak with our specialists about building the right sovereign AI environment for your data, models, and workloads.
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