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Alavia AI, a leader in medical equipment manufacturing, has announced the launch of its innovative "AIVAS" system. This high-performance computer is designed specifically to optimize artificial intelligence workflows in clinical and research settings. The system was introduced at the 2025 CES exhibition, according to Interesting Engineering.
The AIVAS system is equipped with massive processing power, surpassing 1 quadrillion operations per second. This makes it an ideal solution for handling complex medical tasks that require processing large volumes of data, such as Positron Emission Tomography (PET) scans.
Camillo Boscaron, founder of Alavia AI and former expert at NVIDIA, commented on the launch: "AIVAS was developed to bridge the gap in AI for healthcare. As medical data continues to grow, powerful computing systems are essential for turning this data into actionable insights."
The AIVAS device features a CPU with 128 cores, paired with an NVIDIA CUDA GPU that includes more than 28,000 cores, alongside 92GB of high-bandwidth GPU memory. The system is also highly energy-efficient, consuming only 700 watts.
The Neuroscience Department at Stanford University's Medical School, which tested the system, confirmed that AIVAS significantly speeds up medical tasks. Procedures that previously took 30 minutes can now be completed in under 30 seconds, enabling researchers to obtain faster and more accurate results.
Boscaron further emphasized that machine learning is becoming an essential part of medicine. The rapid generation of medical data whether from blood tests, medical imaging, genetic analysis, vital signs, or real-time tracking devices cannot be handled by traditional computers. He added, "Supercomputers allow us to unlock greater potential from data to gain valuable insights, enabling doctors to make more accurate and informed decisions, ultimately improving diagnoses."
Concluding his remarks, Boscaron stated, "The future of healthcare depends on our ability to extract insights from vast data sets, leading to better patient outcomes and increased efficiency in medical practices."