Netweb Unveils India’s Most Powerful AI Supercomputer and Personal AI System
Netweb Technologies, a leading provider of high-end computing solutions in India, has taken a major leap forward in artificial intelligence. Under the ‘Make in India’ initiative, the company has developed one of the world’s most powerful AI infrastructures. It launched the Tyrone Camarero GB200 AI Supercomputer and the Tyrone Camarero Spark Personal AI Computer System. Following the announcement, the company’s shares saw a noticeable uptick.
A New Era for AI Computing in India
According to Netweb’s official press release, both the Tyrone Camarero GB200 and Tyrone Camarero Spark systems are set to usher in a transformative phase for computing in the country. Built on NVIDIA’s Sovereign AI technology, these systems are specifically designed to meet the growing needs of India’s AI developers and enterprises. The Tyrone Camarero Spark has been described as one of the smallest AI supercomputers in the world. Despite its compact desktop size, it delivers the full suite of NVIDIA’s AI software and hardware stack.
Massive AI Power in a Tiny Form Factor
The Tyrone Camarero Spark integrates advanced components, including the NVIDIA Blackwell GPU, Grace CPU, NVIDIA networking, and CUDA-X libraries. Its standout features include:
- Up to 1 petaflop of AI performance
- 128GB of unified memory
- Compact dimensions of just 5.9 x 5.9 x 2 inches
- Power consumption of only 240 watts
- Capability to run inference on AI models with up to 200 billion parameters
- Ability to fine-tune models locally with up to 70 billion parameters
This system empowers developers to build AI agents and run advanced AI models directly on their own machines, significantly reducing reliance on cloud infrastructure.
CEO Calls It a Proud Moment for ‘Make in India’
Sanjay Lodha, Managing Director and CEO of Netweb Technologies, expressed his enthusiasm about the launch. He stated that manufacturing the Tyrone Camarero Spark in India is a point of pride for the ‘Make in India’ mission. Lodha explained that the system is powered by the NVIDIA GB10 Grace Blackwell Superchip, offering developers immense AI computing capability in an extraordinarily small package. He noted that this development could completely transform AI research and development in India. According to him, the collaboration with NVIDIA has created an entirely new customer segment.
NVIDIA Highlights the Strategic Importance
Vishal Dhupar, Managing Director for South Asia at NVIDIA, emphasized the growing demand for generative AI and sovereign computing. He stressed the need for robust new AI infrastructure. Dhupar stated that the partnership between Netweb and NVIDIA will help bring AI computing to developers and businesses across the country. This, he added, will accelerate innovation and discovery.
New Tools and Capabilities for AI Developers
The Tyrone Camarero Spark comes pre-installed with NVIDIA Nemotron AI models, libraries, and NIM microservices. This allows developers to easily perform tasks such as:
- Building AI chatbots
- Developing image generation systems
- Creating vision search and data summarization agents
- Building advanced AI applications
Shipping of the system has already begun, and initial units have been provided to select AI organizations in India.
New AI Supercomputing Systems Built in India
Netweb has also launched new Tyrone AI supercomputing systems based on the NVIDIA Grace Blackwell platform, designed and manufactured entirely in India. Key features of these systems include:
- Use of NVIDIA Blackwell GPUs and Grace CPUs
- Support for liquid-cooled MGX modular servers
- Up to twice the performance of the previous generation
- Suitable for AI training, research, and scientific computing
Showcased at the India AI Impact Summit 2026
Netweb Technologies displayed its full range of Tyrone AI systems at the India AI Impact Summit 2026. The lineup includes solutions spanning AI edge computing, personal computing, and data center AI systems. This is widely seen as a significant step toward strengthening India’s AI infrastructure.
