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We are thrilled to announce the general availability of AIVAS, an all-in-one interactive high-performance personal supercomputer (HPC) designed to revolutionize the 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. AIVAS enables bioinformaticians and healthcare professionals with powerful tools to gain pivotal insights across various medical applications ranging from genetics research, to clinical decision support systems.
The increasing complexity of applications in fields like digital pathology, neurology, genetics research and cardiac imaging demand robust computational power and efficiency. AIVAS addresses market demand by offering the highest compute density and energy efficiency for low-latency, mission-critical workflows and secured workloads. 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. This provides a unique opportunity for 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.
Enthusiasm for AIVAS is uniquely pronounced in the bioinformatics software engineering community. 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.
Key Features of AIVAS
AIVAS has been met with enthusiasm and validation from early adopters, including researchers from the Stanford Medical School Department of Neurology and Neurological Sciences and the Acacia Clinics.
Dr. Danielle D. DeSouza, Vice-President of Research at Acacia Clinics and Research Staff at Stanford University, Department of Neurology, shared her experience, saying, “Performing cortical reconstruction with AIVAS was significantly faster than traditional computers. We reduced individual subject reconstructions from over 24 hours to under 2 hours per subject and could parallelize to perform hundreds of subjects at a time. Clinical trial cohort pre-processing that used to take weeks to months was completed in under a week.”
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. To learn more how AIVAS can help accelerate your discoveries or clinical challenges reach out to us today!
