The stock price of one of India’s largest supercomputing system manufacturers is surging on Wednesday, February 18, as the company introduces its “Make in India” AI supercomputing systems. The shares of Netweb Technologies reached a high of ₹3,535 today, up by over 14% from the previous close of ₹3098.8. At time of writing, the stock is trading for ₹3,362.50, up by 8.51%. Netweb Technologies’ AI Supercomputing Systems The stock rallied after the company launched what it claims as one of the world’s most powerful artificial intelligence infrastructure solutions: the AI supercomputer Tyrone Camarero GB200 system and the petascale personal computer system Tyrone Camarero Spark. Netweb Technologies said that the Tyrone Camarero Spark is one of the world’s smallest AI supercomputers that deliver US chipmaker Nvidia’s AI stack in a compact desktop form factor. The system is anticipated to address the requirements of AI developers in India, allowing them to build AI agents and deploy advanced software stacks entirely on-premises. “The Tyrone Camarero Spark, based on Nvidia DGX Spark and powered by the Nvidia GB10 Grace Blackwell Superchip, manufactured in India by Netweb and ready to serve the AI developer market of the world, is a proud moment for the ‘Make in India’ mission,” Netweb Technologies India managing director and CEO Sanjay Lodha said , according to Business Today. ”With this move, we have created a whole new customer segment in collaboration with Nvidia.” India’s Push to Drive AI Transformation Nvidia said that the launch of Netweb Technologies’ Tyrone Camarero AI Supercomputing systems represent the further expanding access to its AI infrastructure in India. The tech titan is also teaming up with several other Indian firms including cloud infrastructure provider E2E Networks amid the government’s push for AI industrial revolution. “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,” the company said .