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Gujarat accelerates AI push with plan to deploy 100+ GPUs for startups

The Gujarat government has stepped up its push to strengthen artificial intelligence (AI) capabilities by announcing plans to deploy more than 100 high-performance graphics processing units (GPUs) across the state to support startups, educational institutions and government departments.The initiative, led by Gujarat Informatics Limited under the Science and Technology Department, follows the recent “AI Startup Samvad” and aligns with Chief Minister Bhupendra Patel’s focus on technology-driven and citizen-centric governance.
Under the Centre’s IndiaAI Mission, the state is operationalising shared AI computing infrastructure that will provide access to over 100 GPUs for model training, application development and deployment of scalable solutions.The national mission aims to democratise access to advanced computing resources and enable startups, researchers and public institutions to build indigenous AI solutions through shared infrastructure and datasets.


According to officials, the shared facility will significantly reduce the cost and time required for organisations to procure high-end computing systems, while accelerating the development and deployment of AI-driven applications across governance and industry.The move builds on discussions held during the “AI Startup Samvad” in Gandhinagar, where the Chief Minister interacted with around two dozen high-potential startups from across the country. The event aimed to identify scalable AI solutions and strengthen Gujarat’s position in emerging technologies.
During the interaction, Patel said the state aims to become a leader in artificial intelligence adoption, with increased use of AI to enhance transparency in governance and improve citizen services. He also highlighted the role of startups in driving innovation across sectors such as manufacturing, healthcare and education.In recent years, the state government has taken multiple steps to build a robust AI ecosystem, including establishing centres of excellence, supporting startup-led innovation challenges and forging partnerships with industry to create AI clusters and research infrastructure.The new GPU-backed infrastructure is expected to support a wide range of activities, including training AI models, developing applications and enabling large-scale deployment of AI solutions. Officials added that it will also encourage the creation of locally relevant AI applications and facilitate their faster adoption in governance.

(State Correspondent)


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