This digest compiles the latest from NVIDIA.
Today’s NVIDIA Roundup
India Fuels Its AI Mission With NVIDIA
18 Feb 2026, 12:30 am by Jay Puri
India is the nexus of AI innovation this week as the host of the AI Impact Summit, which brings together global heads of state and industry to chart the future of AI.
At the summit, taking place in New Delhi, industry leaders, government agencies, educational institutions and startups are sharing how they’re working with NVIDIA to drive the AI industrial revolution in the world’s most populous country.
These initiatives support the IndiaAI Mission, a government effort that’s infusing India’s AI ecosystem with over $1 billion to bolster the nation’s compute capacity and foster the development of sovereign AI datasets, frontier models and applications. The mission also supports AI education, startup innovation and frameworks for trustworthy AI.
Read how NVIDIA is supporting IndiaAI Mission priorities including:
NVIDIA Cloud Partners Boost India AI Infrastructure
To achieve its AI ambitions, India is investing heavily in its computing infrastructure. Under the IndiaAI Compute Pillar, the nation is building out its AI cloud offerings with systems including tens of thousands of NVIDIA GPUs.
NVIDIA is collaborating with next‑generation cloud providers Yotta, L&T and E2E Networks to deliver advanced AI factories to meet India’s growing need for AI compute and enable it to develop AI models and services that drive innovation.
- Yotta is a hyperscale data center and cloud provider building large‑scale sovereign AI infrastructure for India, branded as Shakti Cloud, powered by over 20,000 NVIDIA Blackwell Ultra GPUs. Its campuses in Navi Mumbai and Greater Noida deliver GPU‑dense, high‑bandwidth AI cloud services on a pay‑per‑use model, designed to make advanced AI training and inference affordable and compliant for Indian enterprises and public sector customers.
- E2E Networks is building an NVIDIA Blackwell GPU cluster on its TIR platform, hosted at the L&T Vyoma Data Center in Chennai. The TIR cloud compute platform will feature NVIDIA HGX B200 systems and NVIDIA Enterprise software as well as NVIDIA Nemotron open models to supercharge sovereign development across agentic AI, healthcare, finance, manufacturing and agriculture.
India’s AI cloud infrastructure will host workloads as well as manufacture intelligence for model training, fine-tuning and high‑scale inference. Capacity within these data centers will be reserved for model builders, startups, researchers and enterprises to build, fine-tune and deploy AI in India.
Further expanding access to NVIDIA AI infrastructure in India, Netweb Technologies is launching its Tyrone Camarero AI Supercomputing systems built on the NVIDIA Grace Blackwell architecture. The NVIDIA GB200 NVL4 platforms — manufactured in India by Netweb under the government’s “Make in India” mission — feature four NVIDIA Blackwell GPUs and two NVIDIA Grace CPUs to power scientific computing, model training and inference.
NVIDIA and India AI-Native Companies Build the Nation’s Frontier AI Models
Another key goal of the IndiaAI Mission — led by its Innovation Center Pillar — is to develop and deploy foundation models trained on India-specific data and domestic AI infrastructure.
For a nation as multilingual as India — with 22 constitutionally recognized languages and over 1,500 more recorded by the country’s census — frontier AI models are a powerful tool to help its more than 1.4 billion residents interact with technology in their primary language.
Organizations across the country are building AI applications with NVIDIA Nemotron to support public-sector services, financial systems and enterprise operations in multiple languages.
NVIDIA Nemotron open models, datasets, tools and libraries enable organizations to build frontier speech, language and multimodal models at scale and across languages for government, consumer and enterprise applications. It includes India-specific datasets like Nemotron-Personas-India, an open dataset built from publicly available census data using NeMo Data Designer that includes 21 million fully synthetic Indic personas to enable population-scale sovereign AI development.
Adopters in India of Nemotron — and NeMo Curator, an open library for multilingual and multimodal data curation — include:
- BharatGen, a sovereign AI initiative supported by the Government of India aimed at strengthening the country’s multilingual and multimodal AI ecosystem. As part of this effort, BharatGen has developed a 17-billion-parameter mixture-of-experts (MoE) model from the ground up, using the NVIDIA NeMo framework for pretraining and the NeMo RL library for post-training. The open source models are designed to power applications across public services, agriculture, security and cultural preservation.
- Chariot, a company building AI systems for speech and multimodal communication. Using the NeMo framework, Chariot is developing an 8-billion-parameter model for real-time text to speech, supporting applications that improve accessibility and digital interaction across consumer and enterprise use cases.
- Commotion, backed by Tata Communications, which has developed an AI operating system to automate complex enterprise workflows. By integrating NVIDIA Nemotron models and speech capabilities, the platform enables governed, production-grade AI deployments, helping enterprises scale AI across critical business operations.
- CoRover.ai, which has deployed NVIDIA Nemotron Speech open models and NVIDIA Riva libraries for end-to-end, ultralow-latency speech AI — including the NVIDIA Riva Whisper v3 model for multilingual automatic speech recognition in English, Hindi and Gujarati. Powering customer service applications for the Indian Railway Catering and Tourism Corporation, CoRover’s platform supports around 10,000 concurrent users and more than 5,000 daily ticket bookings.
- Gnani.ai, which offers enterprises a multilingual agentic AI platform that can interact with customers through voice and text. Gnani is building a 14-billion-parameter speech-to-speech model built on NVIDIA Nemotron Speech models, datasets and NeMo libraries including NeMo libraries through NVIDIA Cloud Partner E2E Networks — with plans to expand to a 32-billion-parameter model. By fine-tuning the NVIDIA Nemotron Speech model for Indic languages, Gnani has achieved a 15x reduction in inference costs, enabling the company to scale to support more than 10 million calls per day for customers in telecom, banking and hospitality.
- National Payments Corporation of India (NPCI), which operates India’s retail payment and settlement systems and is deploying AI models to support digital financial services. Building on its production deployment of the AI-powered UPI Help Assistant — a pilot initiative for India’s Unified Payments Interface (UPI) — NPCI is exploring training FiMi, a financial model for India, using the NVIDIA Nemotron 3 Nano model and its own datasets. The model, fine-tuned with the NeMo framework, will support multilingual customer service across India’s banking ecosystem.
- Sarvam.ai, a leader in full-stack sovereign generative AI that provides enterprise-grade multimodal, speech-to-text, text-to-speech, translation and reasoning models. The company is open sourcing its Sarvam-3 series of text and multimodal large language model variants, trained for 22 Indic languages, English math and code. Sarvam is using NeMo Curator to construct high-quality multilingual training data while adopting a subset of NVIDIA Nemotron datasets. The foundation models were pre-trained from scratch across 3B, 30B and 100B parameter sizes using the NVIDIA NeMo framework and Megatron-LM, and post-trained with NeMo RL. Training was conducted on NVIDIA H100 GPUs through NVIDIA Cloud Partners, including Yotta. With these sovereign models, Sarvam.ai’s new Pravah platform enables production-grade inference for Indian government and enterprise applications.
- Soket.ai, which is using a modern large-model training stack on open NVIDIA Nemotron technologies, including NVIDIA Megatron and NVIDIA NeMo. These open source components enable scalable experimentation, training stability and efficient GPU usage, while preserving full control over the model’s data, design and life cycle.
- Tech Mahindra, which has developed an 8-billion-parameter foundation model tailored for Indian languages and dialects. The model, built with Nemotron, is being designed for use in classrooms, where it can help make educational materials available in a wider range of Indian languages including Hindi, Maithili and Dogri. The team generated synthetic data with Nemotron libraries and tools such as NeMo Data Designer and conducted supervised fine-tuning with NeMo AutoModel.
- Zoho, which is advancing its Zia LLM platform with proprietary models built using NVIDIA NeMo on the NVIDIA Blackwell and Hopper platforms, integrated across its software-as-a-service applications. This privacy-first architecture delivers contextual, production-grade AI for critical business workflows like customer relation management and finance, ensuring technology sovereignty and enterprise security at a global scale.
Developers building sovereign AI systems can access NVIDIA Nemotron and NeMo today. Nemotron models can be deployed anywhere on NVIDIA-accelerated infrastructure — including on NVIDIA DGX Spark, which is now available in India through qualified partners including PNY, RP tech India, Tech Data, a TD SYNNEX Company, as well as on NVIDIA Marketplace. A version manufactured in India as part of the “Make in India” initiative is available through Netweb.
DGX Spark also runs sovereign AI models by Indian model builders including Sarvam.ai.
Government and Academic Partnerships to Support Research in AI for Science and Engineering
Under its Application Development Initiative Pillar, the IndiaAI Mission is supporting high-impact AI applications — and its Startup Financing Pillar aims to democratize funding availability for AI entrepreneurs across the country.
NVIDIA is collaborating with government agencies, research institutions, venture capital firms and startups to advance projects aligned with these goals.
NVIDIA is collaborating with the Anusandhan National Research Foundation (ANRF), a statutory body under the Indian government, to spur even more cutting-edge AI research across the nation’s leading academic institutions. The initiative will support ANRF’s AI for Science & Engineering program and future AI programs.
NVIDIA will offer ANRF grantee institutions complimentary access to NVIDIA AI Enterprise software and specialized technical mentorship through the NVIDIA AI Technology Center. The collaboration will also include AI bootcamps, workshops and hackathons to strengthen India’s AI research ecosystem.
NVIDIA is also partnering with prominent venture capital firms including Peak XV, Z47, Elevation Capital,, Nexus Venture Partners and Accel India to identify and fund promising startups of all stages that are building AI solutions for India and international use. More than 4,000 of India’s AI startups are already part of the NVIDIA Inception program.
For more from the India AI Summit, learn how NVIDIA and global industrial software leaders are partnering with India’s largest manufacturers — and how India’s global systems integrators are building enterprise AI agents with NVIDIA.
India’s Global Systems Integrators Build Next Wave of Enterprise Agents With NVIDIA AI, Transforming Back Office and Customer Support
18 Feb 2026, 12:30 am by John Fanelli
Agentic AI is reshaping India’s tech industry, delivering leaps in services worldwide.
Tapping into NVIDIA AI Enterprise software and NVIDIA Nemotron models, India’s technology leaders are accelerating productivity and efficiency across industries — from call centers to telecommunications and healthcare.
Infosys, Persistent, Tech Mahindra and Wipro are leading the way for business transformation, improving back-office productivity and customer services with integrated agentic AI platforms built with NVIDIA AI Enterprise.
At this year’s India AI Impact Summit, the state of the art for next-generation business services driven by agentic and generative AI was on full display.
India’s tech industry is on track to reach $500 billion in revenue by 2030, up from about $250 billion in 2023, according to IBEF, citing momentum in AI from 38,000 GPUs secured in September.
Wipro WEGA Platform Boosting Efficiency for Call Centers With NVIDIA AI Enterprise
For health insurance plans in government‑regulated markets, customer experience is important — especially during peak enrollment cycles, when deadlines loom and subscribers need 24/7 support to assess options and optimize enrollment decisions for their families. Traditional contact center business models, built around seasonal hiring and lengthy training, simply can’t keep pace. What’s needed is a new operating model that improves customer experience while containing the growing cost of service.
Wipro’s AI‑agent-assisted solution, powered by the WEGA platform and NVIDIA AI Enterprise software, offers a glimpse of that future. Deployed for a major U.S. healthcare insurance provider, the system is already reshaping member experiences by enabling service representatives to handle more complex requests, accelerate resolution times, deliver more personalized support and improve operational efficiencies.
AI agents help meet the expectations customers bring to their health plans: immediate access to accurate information, conversational self‑service, frictionless enrollment and consistent guidance across channels. Behind the scenes, payers face rising call volumes, fragmented data and heavy administrative workloads. AI agents bridge that gap by scaling instantly, operating around the clock and supporting human representatives with real‑time intelligence.
The results have been striking: 42% of inbound calls are now handled by AI agents and near‑instant responsiveness across 900 concurrent calls and 164 requests per second — all with sub‑200‑millisecond latency.
Members benefit from natural, conversational self‑service. Human agents receive real‑time prompts and knowledge retrieval. A centralized data hub surfaces personalized insights, while automated digitization removes manual work from downstream processes.
Using production grade, horizontally scalable NVIDIA NIM microservices and NVIDIA NeMo Guardrails, part of NVIDIA AI Enterprise, the solution includes the performance, governance and safety required in regulated healthcare environments.
Its impact is already extending beyond healthcare, with similar deployments underway in financial services. Anywhere accuracy, compliance and scale matter, AI agents are becoming a transformative force.
Tech Mahindra Deploying Large Telco Model to Power Autonomous Network Operations Using NVIDIA NIM
Tech Mahindra is accelerating the shift toward AI-assisted network operations with a new platform built in collaboration with NVIDIA. At the center is a large telco model (LTM) that generates prioritized, data‑driven recommendations to help field technicians rank each fix by its historical success rate across the network. The result is faster, more accurate resolutions — often in a single visit — and a clear path toward level‑4‑plus operational maturity.
A large telecommunications services provider is adopting the same LTM foundation as part of its operations roadmap, targeting improvements in service‑layer issue resolution, customer experience and back‑office efficiency through higher‑quality tickets and fewer escalations.
The platform uses NVIDIA Nemotron embedding models for semantic search across telemetry and a Nemotron reranking model to sharpen decision relevance. These models are deployed with NVIDIA NIM microservices for rapid, reliable accelerated AI inference. NVIDIA NeMo Agent Toolkit orchestrates agent workflows across network domains, enabling true agentic operations at scale.
By embracing autonomous network operations, Tech Mahindra shows how AI can transform a global telecom industry generating more than $1.5 trillion in annual revenue — where even small gains in uptime and efficiency deliver outsized economic impact.
Infosys Builds an Enterprise-Grade Coding Small Language Model With NVIDIA AI Enterprise
Infosys developed a new small language model for coding, built using the NVIDIA NeMo framework that’s part of NVIDIA AI Enterprise, and integrated within Infosys Topaz Fabric. The model accelerates software delivery with frontier‑grade performance while remaining lightweight, and it can be deployed across on-premises enterprise data centers, cloud environments and even standard desktops.
The 2.5‑billion‑parameter model supports agent development, code generation, refactoring and end‑to‑end software‑engineering workflows. It’s trained on a curated blend of high‑quality code, synthetic data, mathematical reasoning and natural language inputs — an approach that enables it to match frontier‑model performance on benchmarks such as MBPP, MBPP+ and BFCL.
Infosys also prioritized safety and trust. The model incorporates safety‑aligned training and responsible AI practices that reduce harmful outputs while preserving fluency. Its secure‑coding capabilities are validated through industry benchmarks including Stanford AIR‑Bench and Meta’s CyberSecEval, giving enterprises confidence to deploy it across code generation, debugging and multi‑agent development pipelines.
Persistent Accelerates AI‑Driven Molecular Discovery With NVIDIA BioNeMo and NeMo Agent Toolkit
Persistent Systems is working with NVIDIA to push early‑stage drug discovery into a new era of speed and scientific fidelity. The collaboration brings together Persistent’s deep life sciences engineering expertise with NVIDIA’s full‑stack accelerated computing platform, giving researchers a powerful path from AI experimentation to production‑grade discovery workflows.
At the center of the effort is Persistent’s new Generative Molecules and Virtual Screening (GenMoIVS) solution, built on the NVIDIA BioNeMo platform and the NeMo Agent Toolkit. GenMoIVS uses large, domain‑specific models to simulate molecular behavior with high accuracy, generating and evaluating candidate compounds before they ever reach a wet lab. These agentic workflows continuously reason across virtual screening, prioritization and experimental planning, helping teams de‑risk early discovery and shorten development cycles.
The platform runs on NVIDIA’s accelerated computing platform, including NVIDIA AI Enterprise software and NIM microservices, enabling high‑throughput simulation and real‑time scientific decision-making in regulated environments. By combining scalable infrastructure with production‑ready agentic AI, Persistent is giving life sciences organizations a faster, more cost‑effective way to explore the compound space and improve downstream success rates.
NVIDIA and Global Industrial Software Leaders Partner With India’s Largest Manufacturers to Drive AI Boom
18 Feb 2026, 12:30 am by Timothy Costa
India is entering a new age of industrialization, as AI transforms how the world designs, builds and runs physical products and systems. The country is investing $134 billion dollars in new manufacturing capacity across construction, automotive, renewable energy and robotics, creating both a massive challenge and opportunity to build software-defined factories from day one.
At the center of this transformation are applications accelerated by NVIDIA CUDA-X and NVIDIA Omniverse libraries, which connect data from design to operations and bring physical AI into factories, warehouses and infrastructure.
India’s largest manufacturers are teaming with global industrial software leaders Cadence, Siemens and Synopsys to advance the nation’s AI boom using applications accelerated by CUDA-X and Omniverse libraries.
India’s Manufacturing Leaders Modernize Factories With Siemens and NVIDIA
To scale India’s growth, manufacturers are using Siemens industrial software integrated with NVIDIA CUDA-X and Omniverse libraries to design, build and operate next-generation, software-defined factories.
Reliance New Energy, the clean energy arm of Reliance industries, is expanding its collaboration with NVIDIA and Siemens by combining Siemens’ digital twin technology with NVIDIA Omniverse libraries for faster, more precise simulation and plant design for its next-generation gigafactories.
Addverb Technologies, a leading Indian company providing robots and innovative warehouse automation solutions, is using Siemens’ Technomatix portfolio, NVIDIA Omniverse libraries and NVIDIA Cosmos world foundation models to create digital twins of its factories and train its quadruped and wheeled humanoid robots in simulation.
Hero MotoCorp is utilizing Siemens Xcelerator and NVIDIA infrastructure to accelerate the product development lifecycle by enhancing its capabilities in computer-aided engineering, numerical virtual verification and validation.
Partners Advance Design and Engineering With NVIDIA-Accelerated Software From Synopsys and Cadence
Leading enterprises are integrating Synopsys and Cadence’s electronic design automation tools, powered by NVIDIA AI infrastructure and libraries, to enable rapid design iteration and operational intelligence across the energy, automotive and electronics sectors.
Electrical equipment and home appliances leader Havells India Limited is using Synopsys’ Ansys Fluent to accelerate simulation powered by NVIDIA CUDA-X. Havells has obtained 6x faster fluid dynamic simulations, enabling exploration of more design options to optimize airflow and energy efficiencies, and achieve faster time to market.
Larsen & Toubro Semiconductor’s application of Cadence Spectre X, accelerated by CUDA-X libraries, on NVIDIA GPUs shortens design iterations of next-generation AI chips.
India’s Technology Leaders Advance Industrial Automation With Physical AI
India’s IT and business consulting sector has grown into a global powerhouse, projected to reach over $350 billion this year, serving as a primary engine for transforming the world’s largest industries.
Tata Consultancy Services (TCS), a global leader in IT services, is investing in large-scale AI infrastructure to deliver enterprise solutions at scale. By harnessing the NVIDIA Metropolis platform, the NVIDIA Blueprint for video search and summarization and digital twins built on Omniverse libraries, TCS is setting safety and precision benchmarks at Tata Motors, converting standard camera feeds into intelligent sensors for automated quality checks and real-time safety compliance.
TCS is also deploying physical AI applications, including autonomous safety and quality inspections via quadruped robots, to minimize risk across complex manufacturing environments.
Wipro PARI, a leader in industrial automation, is integrating NVIDIA AI infrastructure, Omniverse libraries and the NVIDIA Isaac robotics development platform to deliver solutions for its consumer and automotive customers. This includes real-time simulation and validation of robotic workflows, as well as virtual stress-testing of operations before physical deployment.
Tata Consulting Engineers is launching its Cognitive Twin platform, built on NVIDIA Omniverse, to create real-time industrial simulations that link physical assets with digital intelligence across manufacturing, energy and infrastructure. The platform supports both capital project planning and operational optimization through early-stage simulation and AI-enabled decision-making. Pilot projects are underway with National High Speed Rail Corporation Limited, Torrent Power and Power Grid Corporation of India Limited.
To see what’s next, explore industrial AI and manufacturing sessions at NVIDIA GTC.
Main image courtesy of Wipro PARI
End of today’s NVIDIA roundup.
