E2E Networks is building an Nvidia Blackwell GPU cluster on its TIR cloud compute platform, which will be hosted at the L&T Vyoma Data Center in Chennai. The platform will aim to advance sovereign AI development across sectors such as agentic AI, healthcare, finance, manufacturing and agriculture. It will feature Nvidia HGX B200 systems, Nvidia Enterprise software and Nvidia Nemotron open models.
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Gnani.ai is building a 14-billion-parameter speech-to-speech model based on Nvidia Nemotron Speech models, datasets and NeMo libraries through Nvidia Cloud Partner E2E Networks, with plans to scale to a 32-billion-parameter model. It is among the early adopters of Nemotron and NeMo Curator, and is an open library for multilingual and multimodal data curation, providing enterprises with a multilingual agentic AI platform for voice and text interactions. By fine-tuning the Nemotron Speech model for Indic languages, Gnani has reduced inference costs by 15x, enabling it to handle over 10 million calls per day across telecom, banking and hospitality clients.
Netweb Technologies shares rose 14% on the BSE after unveiling what it describes as one of its most advanced AI infrastructure offerings, the ‘Make in India’ Tyrone Camarero GB200 AI Supercomputer, along with the Tyrone Camarero Spark, a petascale personal AI system.
The Spark is positioned as one of the world’s smallest AI supercomputers, integrating Nvidia Blackwell GPUs, Grace CPUs, networking, CUDA-X libraries and the broader Nvidia AI software stack in a compact desktop form factor.
The system delivers 1 petaflop of AI performance with 128GB of unified memory and is designed to enable inference on models with up to 200 billion parameters and local fine-tuning of models with up to 70 billion parameters.Netweb also introduced Tyrone AI supercomputing systems built on Nvidia’s Grace Blackwell platforms. They are based on the Nvidia GB200 NVL4 architecture, which combines four Blackwell GPUs via NVLink and two Grace CPUs connected through NVLink-C2C.
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