AI & ML News

Tech Mahindra Launches Project Indus LLM

Collaborates with Dell Technologies and Intel to implement the project’s ‘GenAI in a box’ framework globally.

Tech Mahindra has launched Project Indus. It is an indigenous foundational model designed to converse in a multitude of Indic languages and dialects, as well as the intent to expand globally. The first phase of the large language model (LLM) is designed for the Hindi language and its 37+ dialects.

The Indus LLM will be implemented using an innovative ‘GenAI in a box’ framework. The solution leverages Dell Technologies high performance computing solutions, storage and networking capabilities. Additionally, the LLM adopts Intel-based infrastructure solutions, including Intel Xeon Processors, OneAPI software, and future generation products leveraging CPU features like Intel Advanced Matrix Extensions (AMX), to enable customers to integrate Indus model in their GenAI applications, delivering business values and adhering to the emerging guardrails of AI. 

Nikhil Malhotra, Global Head – Makers Lab, Tech Mahindra, said, “Project Indus is our seminal effort to develop an LLM from the ground up. Through Makers Lab, our R&D arm, we created a roadmap, collected data from the Hindi-speaking population, and built the Indus model. Our collaboration with Dell Technologies & Intel will help deliver cutting-edge AI solutions that enable enterprises to scale at speed.”

Denise Millard, Chief Partner Officer, Dell Technologies, said, “Accessibility and scalability are increasingly important for organizations looking to unlock the power of GenAI. With the Dell AI Factory, LLMs like Project Indus leverage AI-optimized technologies with an open ecosystem of partners, validated and integrated solutions, services and best practices, accelerating the adoption of AI to drive growth, optimize productivity and promote innovation.”

Santhosh Viswanathan, Vice President & Managing Director – India Region for Intel, said, “We are proud to collaborate with Tech Mahindra on Project Indus, which will enable seamless deployment of advanced AI models across industries and empower enterprises to unlock GenAI’s full potential for enhanced operational efficiency and a competitive edge.”

This collaboration will create multiple tailored use cases and enable customers to leverage various applications, including customer support, experience, and content creation across healthcare, rural education, banking and finance, agriculture, and telecom, among other industries. This collaboration marks a significant milestone in the development of the global GenAI landscape, which is estimated to grow to $1.3 trillion over the next ten years.

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