NTT DATA in India launches Accelerated AI Platform to simplify complex projects

NTT DATA in India launches Accelerated AI Platform to simplify complex projects

Mumbai, August 28, 2024: NTT DATA, a leading IT infrastructure and services company, today announced the launch of its new Accelerated AI Platform in India. The comprehensive solution is designed to empower businesses with advanced AI capabilities without the complexities of traditional implementations that include:
·         Expert guidance from a team of AI specialists for end-to-end support, from conceptualization to deployment and optimization
·         Flexible and modular solutions to help clients match their requirements to the right combination of infrastructure, development components and services
·         Proprietary AI portfolio including accelerators, frameworks, and tools to enhance effectiveness and efficiency
·         Cutting-edge GPUs (Graphics Processing Units, that are specialized hardware) designed to handle complex calculations quickly, making them ideal for demanding AI workloads
·         Cost optimization with a pay-as-you-go model that helps clients and enables access to advanced infrastructure without the burden of capital expenditure.
“AI initiatives are often complex, resource-intensive, and challenging to implement, which is why we’ve developed an intelligent platform that can address these challenges directly. The Accelerated AI Platform’s launch comes at a time when there is a growing demand for high-performance computing resources, while India’s current growth rate in AI adoption has reached an annual CAGR of 25-35%,” said Avinash Joshi, Chief Executive Officer, India, NTT DATA. “Our platform, built on powerful infrastructure with advanced GPU resources, is a step forward in our commitment to ensure the success of our clients’ AI projects. It offers expert guidance from conceptualization to deployment, with our own extensive IP portfolio and the choice of modular solutions along with the compute resources that can tackle even the most challenging AI workloads,” he added.