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NTT DATA Launches Accelerated AI Platform to Simplify Complex Projects in India 

Platform eases AI adoption with full suite of AI services, cutting-edge GPU infrastructure and pay-as-you-go pricing.

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NTT DATA today announced the launch of its new Accelerated AI Platform in India today. This solution is designed to simplify the adoption of artificial intelligence (AI) for businesses of all sizes, from startups to large enterprises.

The platform will address the challenges faced by organisations looking to leverage AI, including the complexity of implementation, resource-intensive nature of AI projects, and the need for specialised expertise. 

“We understand that AI initiatives can be complex and resource-intensive,” said Avinash Joshi, Chief Executive Officer, India, NTT DATA. “The Accelerated AI Platform tackles these challenges directly. This launch comes at a time when there is a growing demand for high-performance computing resources, and India’s current growth rate in AI adoption is impressive.”

To meet the infrastructure requirements for the platform, NTT DATA partnered with Neysa, an AI cloud and platform-as-a-service (PaaS) company funded by NTT DATA. Neysa provides the high-end GPUs necessary to run advanced AI models and the essential components to deliver the infrastructure and associated services as a service. This includes identifying and delivering the right GPU mix for training and inference workloads.

NTT DATA had also launched a new Edge AI platform in July designed to speed up the integration of IT and operational technology. The platform brings AI processing closer to where data is generated, enabling faster decision-making and more efficient operations. By unifying various IoT devices, systems, and data, this fully managed solution supports real-time analytics, secure AI deployment, and the advancement of Industry 4.0 technologies across different industries.

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Tanisha Bhattacharjee

Journalist with a passion for art, technological development and travel. Discovering the dynamic world of AI, one article at a time.
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