Gymnastics Great Nadia Comaneci Gifted NFT for 'Perfect Ten' Anniversary

Nadia Comaneci was the first gymnast to score a perfect 10 at the Olympic Games. (AFP)
Nadia Comaneci was the first gymnast to score a perfect 10 at the Olympic Games. (AFP)
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Gymnastics Great Nadia Comaneci Gifted NFT for 'Perfect Ten' Anniversary

Nadia Comaneci was the first gymnast to score a perfect 10 at the Olympic Games. (AFP)
Nadia Comaneci was the first gymnast to score a perfect 10 at the Olympic Games. (AFP)

Romanian former gymnastics star Nadia Comaneci was gifted an NFT - a type of digital asset - by a group of Romanian creatives to mark the 45th anniversary since she became the first gymnast to score a perfect 10 at the Olympic Games.

The NFT is a digital necklace made of 10 pieces that are 3D renderings of vault, uneven bars, beam and floor moves she performed in Montreal in 1976.

It was created by a designer, an architect, a visual artist and an IT programmer and presented during Romanian Creative Week, an event showcasing design in the eastern city of Iasi earlier this month.

"I am glad to see that my performance from 45 years ago continues to inspire the young generation," Comaneci, who now resides in Oklahoma, said in a video message.

"I liked the idea of a new type of pioneering, this time at the intersection between athletic performance and technology."

Six other NFTs inspired by the "Perfect Ten" were created and will be auctioned off on Open Sea, the NFT marketplace, on July 18, the exact day when Comaneci made history.

NFTs, or non-fungible tokens, are blockchain-based digital assets ranging from art and videos to songs and tweets that have exploded in popularity during the pandemic as enthusiasts and investors scramble to spend enormous sums of money on items that only exist online.



Microsoft to Invest $3 Bln to Expand AI, Cloud Capacity in India

26 March 2021, Bavaria, Munich: The Microsoft logo hangs on the facade of an office building in Parkstadt Schwabing in the north of the Bavarian capital. (dpa)
26 March 2021, Bavaria, Munich: The Microsoft logo hangs on the facade of an office building in Parkstadt Schwabing in the north of the Bavarian capital. (dpa)
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Microsoft to Invest $3 Bln to Expand AI, Cloud Capacity in India

26 March 2021, Bavaria, Munich: The Microsoft logo hangs on the facade of an office building in Parkstadt Schwabing in the north of the Bavarian capital. (dpa)
26 March 2021, Bavaria, Munich: The Microsoft logo hangs on the facade of an office building in Parkstadt Schwabing in the north of the Bavarian capital. (dpa)

Microsoft will invest about $3 billion to expand capacity for artificial intelligence and its Azure cloud-computing services in India, CEO Satya Nadella said on Tuesday.

The tech giant is the latest to pledge investment in India, a country seen as a key growth market for US technology companies thanks to its population of more than 1.4 billion people and low-cost internet access.

Executives ranging from Nvidia chief Jensen Huang to Meta's chief AI scientist Yann LeCun have visited India in recent months.

The $3 billion investment in India would be the "single largest expansion" done in the country, Nadella said at a conference in the southern Indian city of Bengaluru.

Microsoft will also train 10 million people in AI in India by 2030, Nadella said.

When Nadella visited India early last year, he announced the company will provide 2 million people in the country with AI skilling opportunities by 2025, focused on training individuals in smaller cities as well as rural areas.

Nadella met Indian Prime Minister Narendra Modi on Monday, and the pair discussed "tech, innovation and AI" and "Microsoft's ambitious expansion and investment plans in India."

Microsoft has been pouring billions of dollars into expanding capacity across the globe to boost AI infrastructure and its data-center network.

The company last week unveiled plans to invest about $80 billion in fiscal 2025.

The investment, more than half of which will be in the United States, will focus on developing data centers to train AI models and deploy AI and cloud-based applications.