Netweb Tech Shares Jump 4% After Launch of ‘Make in India’ AI Supercomputing Systems Powered by NVIDIA

Why It Matters

The launch signals India’s accelerating move toward indigenous high‑performance AI hardware, reducing reliance on foreign cloud services and opening new revenue streams for domestic vendors.

Key Takeaways

• Netweb launches AI supercomputers built on NVIDIA Blackwell GPUs
• Spark system delivers 1 petaflop with 128 GB unified memory
• GB200 offers up to twice previous generation performance
• Supports on‑premise inference for models up to 200 billion parameters
• Demonstrates India's push for domestic AI hardware manufacturing

Pulse Analysis

India’s AI ambitions have increasingly hinged on building a home‑grown hardware ecosystem, a cornerstone of the government’s ‘Make in India’ agenda. By coupling local manufacturing with NVIDIA’s cutting‑edge Blackwell GPUs and Grace CPUs, Netweb positions itself at the intersection of global technology and domestic policy. This strategy not only addresses data‑sovereignty concerns but also aligns with the country’s goal of fostering a self‑sufficient AI supply chain capable of supporting large‑scale models without exporting sensitive workloads abroad.

The Tyrone Camarero Spark distinguishes itself as one of the smallest petascale AI machines, packing a full NVIDIA AI stack into a desktop form factor. Its 1 petaflop throughput and 128 GB unified memory enable developers to run inference on models with up to 200 billion parameters and fine‑tune 70‑billion‑parameter models locally, a capability previously reserved for large data centres. Meanwhile, the GB200 leverages four Blackwell GPUs and two Grace CPUs linked via NVLink‑C2C, delivering up to twice the performance of earlier generations and supporting training of models as large as 10 trillion parameters. The inclusion of liquid‑cooled MGX servers and confidential‑computing features further enhances its appeal for scientific and enterprise workloads.

The market reacted positively, with Netweb’s stock climbing over 4 % on the news, underscoring investor confidence in domestic AI infrastructure. As global chip shortages persist, the ability to produce high‑performance systems locally offers a competitive edge and may attract enterprise customers wary of supply chain volatility. Competitors such as HPE and Dell are also eyeing the Indian market, but Netweb’s early mover advantage and partnership with NVIDIA could translate into sizable contracts in sectors ranging from fintech to pharmaceuticals. Continued product roll‑outs and successful demonstrations in Delhi will be critical to sustaining momentum and scaling revenue.

Netweb Tech shares jump 4% after launch of ‘Make in India’ AI supercomputing systems powered by NVIDIA

ETMarkets.com · Last Updated: Feb 18 2026, 09:34 AM IST

Netweb Technologies India is making waves with its new AI supercomputers.

Shares of Netweb Technologies India rallied as much as 4.3 % to touch an intraday high of Rs 3,233 on the NSE on Wednesday, after the company unveiled what it calls one of its most advanced AI infrastructure offerings — the ‘Make in India’ Tyrone Camarero GB200 AI Supercomputer along with a petascale personal AI system, the Tyrone Camarero Spark.

The Spark is positioned as one of the world’s smallest AI supercomputers, bringing NVIDIA’s full AI stack into a compact, desktop‑sized system. It combines NVIDIA’s Blackwell GPUs, Grace CPUs, networking, CUDA‑X libraries, and the broader AI software stack, and is aimed at developers working on agentic and physical AI applications.

The system delivers 1 petaflop of AI performance with 128 GB of unified memory in a small form factor. It is designed to help developers in India run inference on AI models with up to 200 billion parameters and fine‑tune models of up to 70 billion parameters locally. It also enables users to build AI agents and operate advanced AI software entirely on‑premises, without relying on external cloud infrastructure.

In addition to the Spark, Netweb Technologies India Ltd has introduced Tyrone AI supercomputing systems built on NVIDIA’s Grace‑Blackwell platforms and manufactured in India. These systems are based on the NVIDIA GB200 NVL4 architecture, which integrates four NVIDIA Blackwell GPUs connected via NVLink and two NVIDIA Grace CPUs linked through NVLink‑C2C. The new systems are compatible with liquid‑cooled NVIDIA MGX modular servers and are designed for high‑performance workloads, including scientific computing, AI model training and inference. According to the company, they can deliver up to twice the performance of the previous generation in certain workloads.

The Tyrone Camarero GB200 AI system also incorporates technologies aimed at supporting large‑scale AI training and real‑time inference for large language models of up to 10 trillion parameters. These include the NVIDIA GB200 NVL4 chip, a second‑generation Transformer Engine, fifth‑generation NVLink, a RAS Engine, confidential‑computing features for secure AI processing, and a Decompression Engine.

Netweb will showcase the Tyrone AI product range in New Delhi from February 16‑20, 2026. The lineup will include the MGX‑based GB200 liquid‑cooled system and the Tyrone Camarero Spark, spanning applications from edge and personal AI computing to advanced data‑centre workloads, underscoring its India‑based manufacturing push.

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