Techonology

AI mission should focus on core tech to avoid chips, smartphone errors

On Saturday, Finance Minister Nirmala Sitarman announced a fiscal outlay 2,000 crore ($ 230 million) for the mission. The move announced the Ministry of Electronics and Information Technology (Meity) last Thursday that a store of 18,693 graphic processing units (GPUS) provided by private sector companies, a stores of a cloud supercommuting service to help train AI Was designed to be used in. Model. Startups and members of the academia will get access to computing platforms after being vetted by the Matty-appointed officials on merit.

A senior government official requested oblivion, saying that the platform that enables access to the GPU to the startups, and to decide that to decide this to decide to reach the central calculation infrastructure under the AI ​​mission “Will be fixed soon.”

“We are taking all steps to ensure that the founder AI work is at the fastest possible speed. Beyond 2,000 crores of allocation, if we need more capital, there is also a place for it, “the official said.

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IT Minister Ashwini Vaishnav said during the press briefing of the mission on Thursday that Matty “is already in touch with six major startups, which will be able to build a fundamental AI model with indic language dataset in the next six to 10 months. . “

Industry stakeholders appreciated the move to a large extent, but warned that a quick phase of on-ground development should be sufficiently important for rival tricks such as the Stargate unit and China’s own group in America Push through medium.

Tech sector margin slim

Ajai Chaudhary, co-founder of HCL Technologies, said, “India has always been a nation that has offered technology services for the world, while America’s choice has organized fundamental technologies.” The construction scale in its IT sector is designed for this, even slim. Products.

In electronics, Mint In December, it was reported that India’s electronics economy declined the revenue by $ 150 billion. However, India’s gross margin, or the actual value earned through its services, remains about 10%, instead of constructing them, inspired by heavy dependence on assembleing components. In comparison, China’s margin in technology businesses is more than 30%.

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In Saturday’s budget, Sitarman gave exemption to the essential components essential in television and mobile phone construction to draw the country into the constituent supply chain. Vaishnav said on Saturday that the move will help in making India a “permanent establishment” for constituent manufacturers in India, which will maintain more parts of revenue generated from businesses in India, in India, in India, in India.

Jayant Kolla, a participant in the Tech Advisory firm Convergence Catelist, said what is required for India to “invest and build a risk -taking capital between academics and entrepreneurs.”

“The US has become that by investing in the US big risks-like $ 500 billion quantum for AI through Trump’s Stargate. In the future, taking such a risk will help India be a major stakeholder in the future of the world’s economy – where we and China are clear leaders, “Kolla said.

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Developing such main capabilities can lead to a higher value for the industry. Kashyap Compella, founder of AI analyst and Tech Consultancy firm RPA2A Research, said that the main goal of the AI ​​mission should be detected by the strategies that do not leave India at the risk of other countries.

“The US has brought large muscles to the table with a budget of $ 500 billion to maintain its dominance in AI,” he said. With the support of the strong government, where they first develop the scale in an industry by offering the lowest cost of technical services and then using their profits, such as we saw with Deepsek, a favorable India-China tie . The latter can be sold through India as a marketing vehicle, which involves all sides. Executive orders and restrictions against nations. ,

Geophysical gradient with core tech

Both Chaudhary and Compella warned that India should build its main technology proficiency, such as its fundamental model supported by global geopolitical dataset.

A senior official with Matty said, “requesting oblivion, that the Center is officially installing a local language dataset repository separate from a consumer-supporting Bhashini approach.” “Everyone within the Matty agrees that the current mission controls are at least a good place to start in the case of core AI innovation. The lack of consensus on the price joint of the technology encouragement of the Government of India will only retrieve the industry. GPU Access on-Cloud is ready to be live soon, and for some time the following year, India’s own, government-backed founder AI model may be available for initial progress colleague reviews and startups, ” Said.

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Two other senior officials told Mint The National E-Governance Division is in charge of the dataset operation.

However, many have called India to take more rigorous measures to strengthen their position in the global scenario. “India is one of the largest consumer markets in the world, which no brand wants to ignore. In such a scenario, the key to India is to use this advantage to use this benefit to the technology firms to transfer their technologies to local partners and achieve competencies. This will help local firms climb the price chain. In AI, which is now developing, India should take such drastic steps – or lose another technical war for the US and China, “Chaudhary said.

T) Information Technology (T) Ashwini Vaishnav (T) Chip (T) IT Sector (T) Deepsek (T) AI Model (T) AI Innovation
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