Nvidia Chips Away at Intel, AMD Turf in Supercomputers 

The logo of technology company Nvidia is seen at its headquarters in Santa Clara, California February 11, 2015. (Reuters)
The logo of technology company Nvidia is seen at its headquarters in Santa Clara, California February 11, 2015. (Reuters)
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Nvidia Chips Away at Intel, AMD Turf in Supercomputers 

The logo of technology company Nvidia is seen at its headquarters in Santa Clara, California February 11, 2015. (Reuters)
The logo of technology company Nvidia is seen at its headquarters in Santa Clara, California February 11, 2015. (Reuters)

Nvidia Corp on Monday said it has worked with the UK's University of Bristol to build a new supercomputer using a new Nvidia chip that would compete with Intel Corp and Advanced Micro Devices Inc.

Nvidia is the world's top maker of graphics processing units (GPUs), which are in high demand because they can be used to speed up artificial intelligence work. OpenAI's ChatGPT, for example, was created with thousands of Nvidia GPUs.

But Nvidia's GPU chips are typically paired with what is called a central processing unit (CPU), a market that has been dominated by Intel and AMD for decades. This year, Nvidia has started shipping its own competing CPU chip called Grace, which is based on technology from SoftBank Group Corp-owned Arm Ltd.

At a supercomputing conference in Germany on Monday, Nvidia said it has worked with British researchers and Hewlett Packard Enterprise Co to build a computer called Isambard 3, which is based entirely on its Grace CPU chips and has none of Nvidia's GPUs. The University of Bristol system will be used for climate science and drug discovery research, among other things.

"What's exciting is the whole thing is operating on 270 kilowatts of power. That's actually six times more performance and energy efficiency than the university's previous system, Isambard 2," Ian Buck, general manager and vice president of accelerated computing at Nvidia, said during a press briefing.



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.