How NVIDIA is Helping Indian IT Become AI-First Companies
Indian IT firms have been experiencing a digital transformation journey with generative AI and AI agents over the last two years. Still, many are stuck with legacy systems and outdated tech, and changing that might take a lot of time. NVIDIA is aiming to find a solution to this challenge. Speaking on similar lines at Dell Tech World 2025 in Las Vegas, NVIDIA CEO Jensen Huang highlighted the urgent need for more than half a million companies, still operating on outdated IT and data centre infrastructure, to modernise and embrace AI. “This [AI] is unquestionably the single biggest platform shift, and we talk about how every single layer of the tech of the computing stack is getting reinvented,” Huang told Michael Dell, founder and CEO of Dell Technologies. “It stands to reason that 5,00,000 enterprise companies around the world, which have built their IT and data centres over the last 30 years, are built in the old way and it needs to be somehow brought into the world of AI,” he added. Huang said the industry is gearing up for one of the biggest opportunities yet—enterprise AI. He explained that companies are now building digital workforces using AI agents capable of handling roles in cybersecurity, software development, marketing, sales, forecasting, and supply chain management. These AI agents, he noted, are being developed to complement and enhance human teams across various functions. TCS, Infosys, Wipro Taking Charge NVIDIA has been helping India spearhead its AI mission with the government by providing infrastructure and upskilling. The partnership with Indian IT has also been instrumental in making the change. To start with, Wipro announced in March that it is deploying sovereign AI services for governments and enterprises with NVIDIA. Using NeMo microservices and Wipro’s WeGA Studio, the collaboration develops privacy-first AI solutions for banking, healthcare, and emergency services. Wipro also announced that it would train most of its workforce (about 225,000 people) on NVIDIA AI tools, reflecting its strategic pivot to an AI-first services model. The firms introduced NVIDIA NIM Agent Blueprint templates for “agentic AI advocates” in workflows like intelligent document processing, drug discovery, customer service, and claims processing. Meanwhile, TCS, the largest IT firm by employee count, recently enhanced its WisdomNext 2.0 platform with agentic capabilities with NVIDIA. This proprietary tool leverages the NVIDIA Enterprise AI Factory validated design to fast-track deployment of agentic AI, physical AI, and HPC workloads. It started in October 2024 when TCS established a dedicated NVIDIA Business Unit under its AI Cloud division to accelerate AI adoption across manufacturing, banking, telecommunications, and automotive sectors. The company itself is going all in on this transformation. During the Q4FY25 call, TCS’s CEO said that it is working with a financial services firm to migrate more than 50 million lines of COBOL code to Java using a combination of GenAI and its proprietary TCS MasterCraft platform. Then comes Infosys, which expanded its partnership with NVIDIA at GTC 2025, integrating the NVIDIA AI Enterprise ecosystem into its Topaz platform to optimise supply chains and DevOps pipelines. This was after Infosys launched small language models (SLMs) built on the NVIDIA AI stack. Infosys Topaz BankingSLM and ITOpsSLM were co-developed with NVIDIA AI Enterprise and NVIDIA AI Foundry and fine-tuned on Infosys data. The company has since been working on drug discovery and AI agents for its clients, which was announced during its last two quarterly earnings calls. Last year, an NVIDIA Center of Excellence (CoE) was also established to train 50,000 Infosys developers on CUDA-X libraries and generative AI models, targeting sectors like healthcare and retail. Tech Mahindra and HCLTech Show Confidence Tech Mahindra has been actively working with NVIDIA to bring agentic AI into drug discovery. The system is built on NVIDIA’s NeMo and NIM microservices. According to the company blog, the solution uses Tech Mahindra’s TENO framework alongside NVIDIA AI Enterprise software, including NeMo, NIM microservices, and AI Blueprints. This is after Tech Mahindra built its Project Indus for Indic languages. The recent Indus 2 launch, a Hindi-centric AI model powered by Nemotron-4-Hindi 4B, targets local language engagement. The company claims to have reskilled 45,000 employees, supporting their AI roadmap through an internal proficiency framework. HCLTech is probably the latest entrant in its partnership with NVIDIA. Just last month, HCLTech integrated NVIDIA Omniverse and AI Enterprise into its SmartTwin and AI Force platforms to enhance engineering simulations and software development. Meanwhile, HCLTech’s AI Force also leverages NVIDIA’s RAPIDS framework to accelerate code testing. This collaboration enables HCL to optimise GPU resource allocation for AI training workloads, reducing latency by 40% in pilot deployments. A lot more is expected to come since the CEO of HCLTech has been pushing to change the Indian IT business model because of AI. In its latest quarter, the firm confidently reported 12 exclusive generative AI deals. When it comes to Indian IT, these huge changes are not unknown. Even firms like HCLTech and Infosys have called for a change in the 30-year-old business model. Their generative AI investments are still in the early stages and would require a few years for actual returns, not a result of the “paranoia.” Indian IT also took it upon itself to make these changes and started partnering with AI startups in 2024. Apart from NVIDIA, Indian IT also collaborated with giants like Meta, Microsoft, Google, and AWS to make their offerings AI-ready and has since started focusing on AI.
TCS, Wipro, Infosys, HCLTech, and Tech Mahindra have all been working with NVIDIA for building AI agents.
TCS, Wipro, Infosys, HCLTech, and Tech Mahindra have all been working with NVIDIA for building AI agents and become "AI-first".
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["Rapids", "GenAI", "agentic AI", "AWS", "AI", "SLM", "RAG", "Aim", "generative AI", "small language models"]
["AI", "generative AI", "GenAI", "agentic AI", "Aim", "Rapids", "small language models", "SLM", "RAG", "AWS"]
Mohit writes about AI in simple, explainable, and often funny words. He's especially passionate about chatting with those building AI for Bharat, with the occasional detour into AGI.