[vc_row][vc_column][vc_column_text dp_text_size=”size-4″]Nvidia, a major computer chip designer, had its stock prices skyrocket this week, nearly bringing the company’s valuation to the trillion-dollar level.
Nvidia’s overall worth has reached an astonishing $939.3 billion, thanks to a 24% increase in its stock price. This valuation exceeds that of Tesla ($584.7 billion) and Facebook ($647.6 billion).
Nvidia is currently one of the most valuable firms in terms of market valuation, trailing only Apple, Google, Microsoft, Amazon, and Saudi Aramco, the Saudi state oil company.
The revelation of Nvidia’s latest quarterly results, which were made public in the latter half of Wednesday, sparked this substantial rise. The corporation stated plans to increase chip production in order to fulfil the market’s increasing demand.
Also Read: Earthquake jolts Rawalpindi, Islamabad and other Pakistani cities
Nvidia has successfully established its dominance in the field of artificial intelligence (AI) semiconductors.
Following the public premiere of ChatGPT in November, the sector experienced an extraordinary spike in enthusiasm, spreading its impact far beyond the bounds of the technological business.
ChatGPT has grown in popularity as an AI application, assisting with tasks as diverse as speechwriting, computer programming, and even culinary endeavours.
The cornerstone for all of these accomplishments, however, is solid computer technology, with a special emphasis on cutting-edge computer chips built by Nvidia, headquartered in California.
Initially known for producing computer chips largely used for graphics processing, particularly in computer gaming, Nvidia has now become a critical component of the majority of AI applications.
ChatGPT training required considerable use of Nvidia graphics processing units (GPUs). Specifically, 10,000 of these GPUs were deployed and clustered together within a Microsoft-owned supercomputer.
It’s only one of many supercomputers constructed with Nvidia hardware. The American chipmaker currently controls approximately 95% of the GPU market for machine learning.[/vc_column_text][/vc_column][/vc_row]
