Data Vault Pakistan has entered into a strategic partnership with US-based Rafay Systems to scale Pakistan's first sovereign AI cloud, aiming to keep sensitive digital workloads within national borders while accelerating artificial intelligence deployment across key industries.
The collaboration is designed to enhance a locally governed AI cloud platform that targets telecommunications firms, banks, cloud providers and large enterprises seeking secure, large-scale AI adoption without offshore data exposure.
According to Data Vault, the initiative integrates GPU computing with Kubernetes in a managed, self-service environment. The objective is to reduce bottlenecks that often delay the transition from pilot experimentation to full production rollout.
Mehwish Salman Ali, Founder and Chief Executive Officer of Data Vault Pakistan, said the goal is to deliver sovereign AI consumption comparable to hyperscale cloud models while ensuring that critical information remains within Pakistan's jurisdiction.
The platform is structured to mirror global services such as Azure, AWS and Google Cloud, offering rapid provisioning, developer self-service access and managed operations. However, it maintains domestic data residency and compliance controls.
The initiative is expected to accelerate time-to-market for AI applications in banking, telecom, healthcare, manufacturing and public-sector services. It also aims to improve access to GPU capacity and modern machine learning operations environments for start-ups, researchers and universities.
Built on NVIDIA-accelerated computing infrastructure, the sovereign AI cloud in Corporate Rafay's orchestration layer to enable cloud-like consumption and governance mechanisms. The framework aligns with broader global trends toward self-service GPU clouds and private AI environments emphasised by NVIDIA, where instant provisioning and platform efficiency support developer productivity.
Haseeb Budhani, Chief Executive Officer of Rafay Systems, highlighted the balance between operational speed and governance control, noting that enterprises seek rapid AI outcomes without compromising security.
The joint offering includes GPU-as-a-Service and AI-as-a-Service capabilities, supporting model training, fine-tuning and inference. Managed Kubernetes services will provide lifecycle oversight, security enforcement and observability, alongside centralised cost management and governance guardrails.
Additionally, the partnership enables infrastructure providers to commercialise AI resources through multi-tenant service models, signalling an attempt to build a structured domestic ecosystem for secure artificial intelligence innovation within Pakistan.