ALAFIA unveils AIVAS interactive personal supercomputer for AI applications in healthcare

15th August, 2024

Handles large datasets efficiently and significantly boosts medical reconstruction performance

Alafia Ai, Inc. announced the general availability of AIVAS, an all-in-one interactive high-performance personal supercomputer designed to for enhanced development and deployment of critical artificial intelligence (AI) software applications in healthcare. AIVAS accelerates in-silico experiments and bioinformatics pipeline development by multiple orders magnitude as compared to existing systems. With AIVAS, ALAFIA aims to equip bioinformaticians and healthcare professionals with powerful tools to gain pivotal insights across various medical applications ranging from genetics research, to clinical decision support systems. AIVAS enables surgeons and medical physicists to conduct real-time reconstructions using industry-standard DICOM images and videos, including CT and MRI scans. Leveraging the parallel processing power of both CPU and GPU with a unified memory architecture, AIVAS handles large datasets efficiently and significantly boosts medical reconstruction performance.

AIVAS, designed to offer highest compute density and energy efficiency for low-latency, mission-critical workflows and secured workloads, has the potential to address increasing market demands in healthcare that require robust computational power and efficiency. AIVAS enables next-generation high-throughput sequencing algorithms, computational mass spectrometry, and bioinformatics automation by providing the ability to use advance bioinformatics techniques in clinical environments, enabling more accurate insights and faster results when most critically needed. AIVAS enables real-time data visualization and processing of computed tomography (CT) and magnetic resonance imaging (MRI) scans for use cases ranging from cortical reconstructions to positron emission tomography (PET) reconstruction.

With maximum compute, unified memory, storage, high-bandwidth network throughput, Graphics Processing Units (GPUs) and Data Center grade AI accelerators, new use cases and applications are being created at an accelerated pace, specially in the bioinformatics software engineering space. Researchers and clinicians have full control, security and protection for data, algorithms, pipelines and applications, with regular software updates meeting the highest level of stability and robustness.

 

 

© 2023 MM Activ Sci-Tech Communications. All rights reserved | Disclaimer