Tech Mahindra Unveils AI-Powered Large Language Model for Autonomous Telecom Networks

Tech Mahindra Launches AI Network Automation Model for Telcos With Nvidia and AWS

Two major AI-driven use cases: Dynamic Network Insights Studio and Proactive Network Anomaly Resolution Hub. Technology consulting and digital solutions company Tech Mahindra has developed a new Multi-Modal Network Operations Large Language Model to help telecom operators leverage artificial intelligence (AI) for automating network operations. The model was developed using Nvidia AI Enterprise software and Amazon Web Services (AWS) cloud infrastructure, along with Meta's Llama 3.1 8b Instruct model. The company said it has "heavily customised" the model for telecom networks, by training on large network datasets and applying the latest generative AI and agentic AI frameworks. Also Read: Tech Mahindra and AWS Collaborate to Develop AI-Powered Network Operations Platform The model is designed to manage vast structured data (events, alarms, counters), unstructured data (logs, MOPs, SOPs, images, text, marketing), and all relevant network data, allowing proactive issue resolution and enhanced service quality. Tech Mahindra said on Tuesday that the model enables the transformation of traditional telecom networks into fully autonomous networks (L4 and above). While telcos have been implementing AI use cases with a transactional approach, achieving true operational efficiency requires a holistic embedding of AI capabilities within the network, the company noted. Tech Mahindra emphasised that its collaboration with Nvidia and AWS is "facilitating this transition and helping the telecom industry harness the full potential of AI for enhanced performance and operational excellence." This collaboration integrates Tech Mahindra's network automation platform, netOps.ai, with the Tech Mahindra Optimised Framework (TENO), which incorporates Nvidia AI Enterprise software, including NeMo and NIM microservices. Additionally, it utilises AWS services such as Amazon Elastic Container Registry (Amazon ECR), Amazon Elastic Compute Cloud (Amazon EC2), and Amazon Elastic Kubernetes Service (Amazon EKS). In the initial phase of the development, the new Model will focus on improving operational efficiency through "Intelligent Observability," introducing two key AI-driven use cases. First, the Dynamic Network Insights Studio will provide a unified 360-degree AI-powered network observability solution, offering deep insights into network performance for AI teams, network operations, and C-suite executives. The second use case, Proactive Network Anomaly Resolution Hub, will be an AI-powered auto-resolution system that will autonomously detect and resolve network anomalies such as alarms or events with zero human intervention. Also Read: Jio Delivers Data at 15 Cents a GB: Mukesh Ambani at Nvidia AI Summit 2024 "The shift towards autonomous networks has become imperative within the telecom industry. Our collaboration with Nvidia and AWS is pioneering a Multi-Modal Network Operations Large Model designed to enhance security, automate network management, and improve operational efficiency. Through this work, we will empower telcos to reduce operational costs and pave the way for a more agile and resilient network environment," said Manish Mangal, Chief Technology Officer, Telecom and Global Business Head, Network Services, Tech Mahindra. Chris Penrose, Vice President of Telco Business Development, Nvidia, said, "The introduction of large telco models that understand the network language is a transformational moment for the telecom industry, helping to deliver AI-accelerated operations. Large telco models like Tech Mahindra's new Multi-Modal Network Operations Large Model -- based on Nvidia AI Enterprise -- offer the foundation for creating multiple AI agents that will help enable fully autonomous networks." Also Read: SoftBank and Nvidia Build AI-Powered 5G Network Using AI Aerial With global AI spending in the telecom sector reaching multi-billion-dollar investments, this collaboration underscores Tech Mahindra's commitment to driving AI innovation in telecom and redefining network operations through intelligent automation, deep learning, and multimodal AI models, the company highlighted. Beyond this collaboration, Tech Mahindra said it is also leveraging the Multi-Modal Network Operations Large Model for other business use cases.

Tech Mahindra to Transform Autonomous Network Operations with New Large Telco Model based on NVIDIA AI Enterprise and AWS Cloud Infrastructure

Tech Mahindra (NSE: TECHM), a leading global provider of technology consulting and digital solutions to enterprises across industries, announced a new Multi-Modal Network Operations Large Language Model for Telcos, developed using the NVIDIA AI Enterprise software and AWS Cloud infrastructure. The model is based on Llama 3.1 8b instruct model and is heavily customized for telecom networks, by training on large network datasets and applying the latest generative AI and agentic AI frameworks. It is designed to manage vast structured data (events, alarms, counters), unstructured data (logs, MOPs, SOPs, images, text, marketing), and all relevant network data, allowing proactive issue resolution and enhanced service quality. This model enables the transformation of traditional telecom networks into fully autonomous networks (L4 and above). While telcos have been implementing AI use cases with a transactional approach, achieving true operational efficiency requires a holistic embedding of AI capabilities within the network. Tech Mahindra, working with NVIDIA and AWS, is facilitating this transition and helping the telecom industry harness the full potential of AI for enhanced performance and operational excellence. This collaboration brings together Tech Mahindra's network automation platform ,netOps.ai, Tech Mahindra Optimized Framework TENO that incorporates NVIDIA AI Enterprise software, including NVIDIA NeMo™ and NIM microservices, along with AWS's Amazon Elastic Container Registry (Amazon ECR), Amazon Elastic Compute Cloud (Amazon EC2), and Amazon Elastic Kubernetes Service (Amazon EKS). This model empowers telecom operators to transform their networks into intent-based networks, embodying the principles of Self-Driving Networks (Zero x and Self x). Manish Mangal, Chief Technology Officer, Telecom & Global Business Head, Network Services, Tech Mahindra, said, "The shift towards autonomous networks has become imperative within the telecom industry. Our collaboration with NVIDIA and AWS is pioneering a Multi-Modal Network Operations Large Model designed to enhance security, automate network management, and improve operational efficiency. Through this work, we will empower telcos to reduce operational costs and pave the way for a more agile and resilient network environment." In the initial phase of the development, the Multi-Modal Network Operations Large Model will prioritize improving operational efficiency through "Intelligent Observability", introducing two critical AI-driven use cases. First, the Dynamic Network Insights Studio will provide a unified 360-degree AI-powered network observability solution, offering deep insights into network performance for AI teams, network operations, and C-suite executives. Complementing this, the second use case, Proactive Network Anomaly Resolution Hub, will be an advanced AI-powered auto-resolution system that will autonomously detect and resolve network anomalies such as alarms or events with zero human intervention. Chris Penrose, Vice President of Telco Business Development, NVIDIA, said, "The introduction of large telco models that understand the network language is a transformational moment for the telecom industry, helping to deliver AI-accelerated operations. Large telco models like Tech Mahindra's new Multi-Modal Network Operations Large Model -- based on NVIDIA AI Enterprise -- offer the foundation for creating multiple AI agents that will help enable fully autonomous networks." Additionally, the solution architecture will seamlessly integrate AI-driven intelligence into network operations, encompassing three key components including first efficient data ingestion from the network; second, data curation and model customization to enhance AI training; and third, automated action implementation for quick resolution and restoration of services. Global AI spending in telecom is running into multi-billion-dollar investments; this collaboration reinforces Tech Mahindra's commitment to driving AI innovation in telecom and redefining network operations through intelligent automation, deep learning, and multimodal AI models. Further to this collaboration, Tech Mahindra's long-term vision is leveraging the Multi-Modal Network Operations Large Model to impact other business use cases as well. About Tech Mahindra Tech Mahindra (NSE: TECHM) offers technology consulting and digital solutions to global enterprises across industries, enabling transformative scale at unparalleled speed. With 150,000+ professionals across 90+ countries helping 1100+ clients, Tech Mahindra provides a full spectrum of services including consulting, information technology, enterprise applications, business process services, engineering services, network services, customer experience & design, AI & analytics, and cloud & infrastructure services. It is the first Indian company in the world to have been awarded the Sustainable Markets Initiative's Terra Carta Seal, which recognizes global companies that are actively leading the charge to create a climate and nature-positive future. Tech Mahindra is part of the Mahindra Group, founded in 1945, one of the largest and most admired multinational federation of companies. For more information on how TechM can partner with you to meet your Scale at Speed™ imperatives, please visit https://www.techmahindra.com

Tech Mahindra Unveils AI-Powered Large Telco Model for Autonomous Networks

Tech Mahindra announced a new Multi-Modal Network Operations Large Language Model for Telcos, developed using the NVIDIA AI Enterprise software and AWS Cloud infrastructure. The model is based on Llama 3.1 8b instruct model and is heavily customized for telecom networks, by training on large network datasets and applying the latest generative AI and agentic AI frameworks. It is designed to manage vast structured data (events, alarms, counters), unstructured data (logs, MOPs, SOPs, images, text, marketing), and all relevant network data, allowing proactive issue resolution and enhanced service quality.

Tech Mahindra Announces LLM For Telecom Operators

This comes right after Jio Platforms announced a partnership with AMD, Nokia and Cisco to build an open-source AI platform for telcos IT services giant Tech Mahindra has announced a new multimodal large language model (LLM) for telecom operators. Developed on top of NVIDIA AI Enterprise software and AWS cloud infrastructure, the LLM will be based on Meta's Llama 3.1 8b instruct model. In a statement, Tech Mahindra said that the new model will pave the way for the transformation of traditional telecom networks into fully autonomous networks (L4 and above). The company also noted that the LLM will be built by utilising the latest generative AI (GenAI) and agentic AI frameworks, and will be trained on large network datasets. The new model will be designed to manage structured, unstructured and other relevant network data to enable "proactive issue resolution and enhanced service quality". "... Our collaboration with NVIDIA and AWS is pioneering a multi-modal network operations large model designed to enhance security, automate network management, and improve operational efficiency. Through this work, we will empower telcos to reduce operational costs and pave the way for a more agile and resilient network environment," Tech Mahindra's CTO for telecom business Manish Mangal said. During the initial phase of the development, the IT services major said that the LLM will improve operational efficiency for telcos by offering an AI-powered network observability solution and an AI-driven auto-resolution system that will autonomously detect and resolve network anomalies without "human intervention". In addition, Tech Mahindra added that the solution architecture will also integrate "AI-driven intelligence" into network operations across three components, including efficient data ingestion from the network, data curation and model customisation to enhance AI training, and automated quick resolution and restoration of services. "... Large telco models like Tech Mahindra's new multi-modal network operations large model -- based on NVIDIA AI Enterprise -- offer the foundation for creating multiple AI agents that will help enable fully autonomous networks," Nvidia's vice president of telco business development Chris Penrose said. Tech Mahindra also noted that the latest offering is in line with its larger strategy of leveraging multimodal LLMs for building other business use cases as well. The announcement came on the sidelines of the ongoing Mobile World Congress 2025 in Spain's Barcelona. A day earlier, Jio Platforms said that it has partnered with AMD, Nokia and Cisco to build an open-source AI platform for telcos, which will integrate AI and automation into every layer of telecom network operations.