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India is significantly boosting its AI capabilities with the rollout of 20,000 new GPUs and a massive ₹1 lakh crore innovation fund under the IndiaAI Mission. This strategic move aims to democratize access to high-performance computing and foster deep tech innovation across the nation.
India is making significant strides to establish itself as a global technology leader by aggressively boosting its semiconductor manufacturing capabilities and fostering an 'AI for all' ecosystem built on its Digital Public Infrastructure.
The IndiaAI Mission is making significant strides in fostering indigenous AI development by backing 20 foundation models and providing crucial compute support to 237 projects across the nation, reinforcing India's push for sovereign AI infrastructure and local innovation.
India's ₹10,371.92 crore IndiaAI Mission is set to dramatically accelerate indigenous AI model development and foster a robust AI ecosystem. This initiative focuses on building critical compute infrastructure, enhancing data platforms, nurturing talent, and boosting AI startups and research, aiming
India is significantly boosting its indigenous AI capabilities with the ambitious Rs 10,371.92 crore IndiaAI Mission, a strategic move towards AI sovereignty that emphasizes self-reliance in compute, data, and the crucial development of safe, trusted, and responsible AI systems.
NASSCOM is strongly advocating for a comprehensive AI-driven overhaul of India's education system to prepare a future-ready workforce and position the nation as a global leader in AI talent and solutions. This transformation aims to bridge the skill gap and foster innovation from foundational levels
India's Centre will now subsidize AI chips for government and academic institutions, expanding upon existing support for startups. This strategic move aims to accelerate indigenous AI development, reduce reliance on foreign hardware, and build a self-reliant high-performance computing ecosystem with
India is strategically shifting its focus towards open-source and indigenously developed AI models to foster self-reliance and unlock significant economic value, while exercising caution regarding proprietary 'frontier' systems.
Bengaluru-based Avataar.ai has launched Varya, a revolutionary distilled video AI model designed to make advanced AI more accessible and affordable for Indian businesses by drastically cutting down computational resource requirements.
India is aggressively championing open-source and indigenous Artificial Intelligence models, with its IndiaAI Mission recently backing 20 promising projects. This strategic move aims to foster self-reliance, drive innovation, and build a robust, inclusive AI ecosystem tailored for India's unique nee
New insights challenge the 'bigger is better' mantra in AI, revealing that specialized models often outperform large, general-purpose ones for specific tasks. This shift offers a powerful, cost-effective advantage for Indian businesses and innovators looking to implement AI effectively.
AUM Ventures has launched a substantial Rs 750 crore (approximately $80 million) fund dedicated to fostering India's burgeoning deeptech, AI, semiconductors, and defence startup ecosystem, signalling a robust commitment to indigenous innovation.
Zoho has launched 'Nathu La', an indigenously designed server platform aimed at drastically reducing AI and data center infrastructure costs by up to 25%. This move signifies a major stride towards India's technological self-reliance and sovereignty in advanced computing.
IndiaAI-backed Avataar has launched Varya, a homegrown 'distilled video AI model' capable of generating frontier-quality videos at 10x lower costs. This marks a significant milestone for India's indigenous AI capabilities, setting new benchmarks in efficient video creation.
A recent study highlights a critical paradox: nearly 45% of organisations, including those in India, identify an AI skills shortage as their top workforce challenge. Despite this, a significant 54% express only moderate to low urgency in their AI investment strategies, creating a bottleneck for inno