The federal government has launched a major initiative to strengthen artificial intelligence infrastructure across the public sector by deploying high performance computing resources and advanced AI systems within government managed data centers. Under the plan, the National Telecommunication Corporation has signed a three year agreement with Data Vault Pakistan to provide High Performance Graphics Processing Unit as a Service and Model as a Service to government institutions across the country.
The initiative is designed to accelerate AI adoption across public sector organizations while ensuring that sensitive government data remains hosted within Pakistan and under Pakistani jurisdiction. As part of the agreement, NTC will deploy enterprise grade NVIDIA licensed GPU hardware, including the H200, A100 and B200 series, at its secure, government operated data centers. This infrastructure is intended to support artificial intelligence training and inference workloads and will host several large language models, including Llama 3.1, GPT OSS 20B, Qwen3 32B and Kimi K2, along with text to speech services within NTC’s managed environment.
According to NTC Managing Director Maj Gen Ali Farhan, the project is designed to reduce reliance on public cloud infrastructure while giving government institutions access to secure AI computing capabilities. He said locally hosted computing resources are important for protecting Pakistan’s digital sovereignty and for supporting future government AI applications, positioning the initiative as part of a broader effort to keep sensitive public sector data within the country rather than on foreign cloud platforms.
Data Vault Pakistan will implement the project and provide operational support, enterprise AI infrastructure, and a 99.9 percent service availability commitment. The company said the initiative is intended to support the government’s efforts to expand AI adoption, build up national digital infrastructure, and improve the delivery of digital public services, reflecting a wider push to modernize the technical foundations that government departments rely on for AI powered applications going forward.
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