Netweb Technologies and NVIDIA work together to unleash AI's potential

28 Nov 2023 , 11:15 AM

Netweb Technologies India Limited (Netweb) declared that it is now a manufacturing partner for the GH200 Grace Hopper Superchip MGX server design and the NVIDIA Grace CPU Superchip. Under its Tyrone line of AI systems, Netweb plans to develop and manufacture over 10 server variants for a variety of AI and high-performance computing/supercomputing applications.

Netweb’s AI systems will be able to tackle difficult tasks in high-performance computing (HPC), data science, massive language models, edge computing, enterprise AI, design and simulation, with the help of NVIDIA MGX, a modular reference design.

Additionally, the product line will enable managing many concurrent workloads on a single system, including 5G, AI training, and inference. Simultaneously, the designs guarantee smooth upgrades for future hardware generations.

‘Innovating high-end technology items for the Make-in-India campaign has been Netweb’s primary focus. As a pioneer in AI technologies and solutions, NVIDIA facilitates effective issue solving around the globe. India has the enormous aptitude, need, and desire to profit from AI’s expansion. I think India’s story on generative AI is only getting started because the backend infrastructure and capabilities are directly tied to the success of generative AI and other related technologies.A fantastic place to start is with NVIDIA’s Make-in-India initiative, which supports the PMO objective. Cutting-edge technologies that are produced locally and meet international standards will be introduced, according to Sanjay Lodha, Chairman and Managing Director of Netweb.

Building the proper AI infrastructure at the right cost is one of organizations’ biggest difficulties, according to Vishal Dhupar, Managing Director for South Asia at NVIDIA. ‘Artificial intelligence touches almost all businesses and industry verticals.’

‘NETWEB’s Tyrone AI systems, which are built on NVIDIA MGX, will assist in addressing these issues and provide enterprises with flexibility for a range of applications, such as automation, generative AI, speech analytics, and text analytics, among others.’

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