Nvidia Hits $2 Trillion Valuation as AI Frenzy Grips Wall Street

 This photograph taken in Paris on February 23, 2024 shows a US multinational Nvidia's graphic processing unit (GPU). (AFP)
This photograph taken in Paris on February 23, 2024 shows a US multinational Nvidia's graphic processing unit (GPU). (AFP)
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Nvidia Hits $2 Trillion Valuation as AI Frenzy Grips Wall Street

 This photograph taken in Paris on February 23, 2024 shows a US multinational Nvidia's graphic processing unit (GPU). (AFP)
This photograph taken in Paris on February 23, 2024 shows a US multinational Nvidia's graphic processing unit (GPU). (AFP)

Nvidia hit $2 trillion in market value for the first time on Friday, riding on an insatiable demand for its chips that made the Silicon Valley firm the pioneer of the generative artificial intelligence boom.

The milestone followed another bumper revenue forecast from the chip designer that drove up its market value by $277 billion on Thursday - Wall Street's largest one-day gain on record.

Its rapid ascent in the past year has led analysts to draw parallels to the picks and shovels providers during the gold rush of 1800s as Nvidia's chips are used by almost all generative AI players from chatGPT-maker OpenAI to Google.

That has helped the company vault from $1 trillion to $2 trillion market value in around eight months - the fastest among US companies and in less than half the time it took tech giants Apple and Microsoft.

"For AI companies today - the leaders of the sector - what's going to be binding for them is not going to be demand. It's just going to be their capacity to answer the surging demand," said Ipek Ozkardeskaya, senior analyst at Swissquote Bank.

Nvidia's shares were last trading up about 2%. They had risen as much as 4.9% to a record high $823.9 earlier in the session, giving the world's fourth most valuable company a market capitalization of $2.05 trillion.

Its shares have surged nearly 60% this year, after more than tripling in value in 2023. The chip designer's 2024 share surge has been crucial to the S&P 500's gains, contributing to more than a quarter of the stock index's rise this year.

Its latest market-beating forecast of a whopping 233% growth in first-quarter revenue helped global markets notch record highs on Thursday.

The breakneck growth has drawn analysts and investors from far and wide to Nvidia.

"I'm a European fund manager, but I must have had more emails about their results than I've had about any other set. There have been calls, every broker doing 10-minute debriefs, it's been mind boggling," said one investor, who declined to be named.

Despite the share surge, Nvidia's valuation has fallen due to rapid increases in analysts' estimates. It has a 12-month forward price-to-earnings ratio of about 31, down from 49 times a year ago, according to LSEG data.

"Leading cloud computing companies plan to boost their capital expenditure to satisfy demand for AI training and inference, and it appears that virtually all this spending will fall into Nvidia's pockets," said Brian Colello, a strategist at Morningstar.

"We anticipate revenue will rise by a couple of billion each quarter throughout fiscal 2025 for Nvidia as more chip supply comes online."



SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI

SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI
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SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI

SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI

The Center of Excellence for Data Science and Artificial Intelligence at the Saudi Data and Artificial Intelligence Authority (SDAIA) and King Abdullah University of Science and Technology (KAUST) have introduced the MiniGPT-Med model.

The large multi-modal language model is designed to help doctors quickly and accurately diagnose medical radiology using artificial intelligence techniques.

Dr. Ahmed Alsinan, the Artificial Intelligence Advisor at the National Center for Artificial Intelligence and head of the scientific team at SDAIA, explained that the MiniGPT-Med model is capable of performing various tasks such as generating medical reports, answering medical visual questions, describing diseases, locating diseases, identifying diseases, and documenting medical descriptions based on entered medical images.

The model was trained on different medical images, including X-rays, CT scans, and MRIs.

The MiniGPT-Med model, derived from large-scale language models, is specifically tailored for medical applications and demonstrates significant versatility across different imaging methods, including X-rays, CT scans, and MRI. This enhances its utility in medical diagnosis.

Dr. Alsinan highlighted that the MiniGPT-Med model was developed collaboratively by artificial intelligence specialists from SDAIA and KAUST.

The model exhibits advanced performance in generating medical reports, achieving 19% higher efficiency than previous models. It serves as a general interface for radiology diagnosis, enhancing diagnostic efficiency across various medical imaging applications.