Netweb Technologies surges 16% in two days on launch of NVIDIA-powered AI supercomputers

Shares of Netweb Technologies India Ltd have rallied over 16% in the past two trading sessions after the homegrown high-performance computing company launched a new range of “Make in India” artificial intelligence supercomputing systems powered by NVIDIA’s latest Grace Blackwell architecture.

Boosted by the development, the stock rose as much as 6.9% to ₹3,605 on the BSE on Thursday. The company’s market capitalisation climbed to about ₹20,415 crore, with around 0.7 lakh shares changing hands in early trade. On Wednesday, the stock had already surged 8.84% to close at ₹3,372.90 following the announcement of its new AI Supercomputing Systems.

The stock has been a standout performer since listing. Netweb Technologies, which debuted on the bourses on July 27, 2023, has delivered a staggering 620% return in less than three years from its IPO price of ₹500 per share. The stock hit an all-time high of ₹4,480 on October 8, 2025, and touched its 52-week high of ₹1,278.85 on April 7, 2025.

The share price of Netweb Technologies has risen over 16% in the calendar year 2026 and nearly 5% in the past one month, despite broad-based correction in the IT space amid concerns over the rapid rollout of advanced AI tools, including those developed by Anthropic, which are expected to automate traditional IT services.

Launches NVIDIA-powered AI supercomputers

In an exchange filing last evening, the Faridabad-based company said it launched the Tyrone Camarero GB200 AI System and the compact Tyrone Camarero Spark, claiming them as one of the world’s smallest AI supercomputers. As per the company, shipments of the Spark system have already commenced to select AI user organisations in India, offering near-term revenue visibility.

The Tyrone Camarero Spark is built on the NVIDIA DGX Spark platform and powered by the NVIDIA GB10 Grace Blackwell Superchip. The system delivers up to one petaflop of AI performance in a compact desktop-sized form factor, with 128GB of unified memory and power consumption of just 240 watts. According to the company, it can run inference on AI models with up to 200 billion parameters and locally fine-tune models of up to 70 billion parameters, targeting India’s rapidly expanding base of AI developers.

Netweb said the Spark combines NVIDIA Blackwell GPUs, Grace CPUs, NVIDIA networking, CUDA-X libraries and the NVIDIA AI software stack, enabling developers to build AI agents and advanced software workflows entirely on-premises. The company emphasised that the system has been manufactured in India, aligning with the country’s sovereign compute and “Make in India” initiatives.

In addition to the personal-scale Spark system, Netweb also introduced the Tyrone Camarero GB200 AI System based on the NVIDIA GB200 NVL4 platform. The architecture integrates four NVIDIA Blackwell GPUs connected via NVLink and two NVIDIA Grace CPUs linked through NVLink-C2C. Designed for data centre-scale deployments, the system supports AI model training and real-time large language model (LLM) inference for models scaling up to 10 trillion parameters.

The company said the liquid-cooled rack-scale design can integrate multiple GB200 MGX systems within a single rack, incorporating Grace CPUs, Blackwell GPUs and BlueField DPUs, aimed at compute-intensive AI and scientific workloads.

Managing Director and CEO Sanjay Lodha said the launch marks a “proud moment” for India’s AI ecosystem, highlighting that the Spark system delivers significantly higher performance at dramatically lower power consumption compared to systems available a decade ago. “This milestone revolutionizes AI compute in India by introducing new ways to conduct AI research and development. With this move we have created a whole new customer segment in collaboration with NVIDIA.”

NVIDIA South Asia Managing Director Vishal Dhupar noted that growing demand for generative AI and sovereign compute requires powerful and efficient infrastructure, underscoring the strategic collaboration between Netweb and NVIDIA.

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