Medical equipment manufacturer ALAFIA AI announced AIVAS, a high-performance supercomputer designed to accelerate AI workflows in clinical and research environments, and was unveiled at CES ( CES) for the year 2025, according to the “Interesting Engineering” website.
The AIVAS computer provides more than 1 quadrillion operations per second, making it ideal for handling medical tasks that require large amounts of data, such as PET scan processing.
Camilo Buscarone, founder of Alafia AI and a former expert at Nvidia, said, “The AIVAS model was developed to fill the artificial intelligence gap in the field of healthcare. As the production of medical data continues to increase, powerful computer systems are necessary to transform this data into insights.” applicable.”
The AIVAS device comes with a 128-core central processing unit and an NVIDIA CUDA graphics processing unit with more than 28,000 cores, in addition to 92 GB of high-bandwidth GPU memory. It works very efficiently as it consumes 700 watts of power.
The Department of Neuroscience at Stanford University School of Medicine, who tested the device, reported that it saves a lot of time. Tasks that previously took 30 minutes are now completed in less than 30 seconds, allowing researchers to achieve results faster and more efficiently.
Buscaron pointed out that machine learning has undoubtedly become a major factor in medicine, as the human body generates data at a large rate that a regular computer cannot process, whether it is blood test results, medical image data, genome analysis, vital signs, or real-time tracking devices. The enormous volume of data produced in real time exceeds the ability of a regular computer to fully analyze it.
“High-performance computers create a huge opportunity by exploiting data to achieve valuable insights,” Buscaron concludes. “We can provide doctors with deeper information to help them make better, more targeted decisions and improve diagnostic accuracy.”
He adds, “The future of healthcare lies in our ability to extract these insights, which drives better patient outcomes and more efficient medical practices.”