Indus Cloud, in partnership with Cisco, has announced the launch of Pakistan first Cisco AI GPU Cluster powered by NVIDIA H200 GPUs, introducing advanced artificial intelligence computing infrastructure that enables organizations to develop, train, and deploy AI applications using locally available resources. The platform has been designed to support AI model training, inference, Large Language Models (LLMs), advanced analytics, and other compute intensive workloads while reducing reliance on overseas cloud infrastructure. The initiative marks a significant expansion of Pakistan’s AI ecosystem by making enterprise grade AI compute available within the country and providing businesses, research institutions, and public sector organizations with access to high performance computing closer to home.
Built on Cisco technology and accelerated by NVIDIA H200 GPUs, the AI GPU Cluster has been developed to deliver the processing power required for modern AI workloads while maintaining low latency and scalable performance. According to Indus Cloud, the infrastructure is intended to provide organizations with the ability to build, deploy, and scale artificial intelligence solutions without depending entirely on international cloud providers. The platform is expected to support a wide range of AI use cases including machine learning, generative AI, enterprise automation, advanced data analytics, and research applications. By hosting this infrastructure within Pakistan, organizations can benefit from improved accessibility, faster response times, and infrastructure designed to meet the growing demand for AI powered innovation. The initiative also supports enterprises seeking secure and reliable cloud services capable of handling business critical AI workloads while strengthening the country’s digital infrastructure.
Speaking about the initiative, Shahzad Malik, Managing Director of Master Group of Industries, said the partnership between Cisco and Indus Cloud represents an important step in strengthening Pakistan’s AI capabilities by making advanced AI computing resources available locally. He explained that businesses planning to adopt artificial intelligence can now access the compute infrastructure required to scale their AI ambitions without relying exclusively on infrastructure located abroad. He added that the availability of next generation AI compute within Pakistan creates new opportunities for financial institutions, universities, researchers, and enterprises that require powerful computing resources for innovation and digital transformation. According to Shahzad Malik, organizations can now build, deploy, and scale AI applications closer to home, enabling faster adoption of artificial intelligence while supporting the country’s expanding technology ecosystem. He also emphasized that Pakistan should not only participate in the AI era but should also have the infrastructure necessary to support its long term development.
The launch reflects the increasing demand for AI ready infrastructure as organizations across industries continue investing in artificial intelligence to improve productivity, automate operations, and develop new digital services. High performance GPU clusters have become essential for training sophisticated AI models and processing large datasets efficiently, making local infrastructure increasingly valuable for businesses and research organizations. Through the collaboration with Cisco, Indus Cloud aims to provide scalable AI infrastructure that supports enterprise innovation while reducing dependence on international cloud platforms. The company also highlighted its focus on delivering modern cloud services backed by advanced data center capabilities, creating an environment where businesses, academic institutions, financial organizations, and researchers can access reliable, high performance AI computing within Pakistan. The introduction of the Cisco AI GPU Cluster expands the country’s AI infrastructure and provides organizations with the computing foundation needed to accelerate artificial intelligence adoption across multiple sectors.
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