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ALAFIA Unveils AIVAS Interactive Supercomputer, an All-in-One Interactive High-Performance Personal Supercomputer for Artificial Intelligence Software Applications in Healthcare | Business


GAINESVILLE, Fla.–(BUSINESS WIRE)–Aug 17, 2024–

Alafia Ai, Inc. (“ALAFIA”), declares the final availability of AIVAS, an all-in-one interactive high-performance private supercomputer designed to revolutionize the event and deployment of vital synthetic intelligence (AI) software program functions in healthcare. AIVAS accelerates in-silico experiments and bioinformatics pipeline improvement by a number of orders magnitude as in comparison with present methods. With AIVAS, ALAFIA goals to equip bioinformaticians and healthcare professionals with highly effective instruments to achieve pivotal insights throughout varied medical functions starting from genetics analysis, to scientific determination help methods.

This press launch options multimedia. View the complete launch right here: https://www.businesswire.com/news/home/20240814495516/en/

ALAFIA AIVAS all-in-one interactive high-performance private supercomputer (HPC) designed to revolutionize the event and deployment of vital synthetic intelligence (AI) software program functions. (Picture: Business Wire)

A New Period in AI-Powered Healthcare with AIVAS Personal Supercomputers

The growing complexity of functions in fields like digital pathology, neurology, genetics analysis, radiation oncology, and cardiac imaging demand strong computational energy and effectivity. AIVAS addresses market demand by providing the very best compute density and vitality effectivity for low-latency, mission-critical workflows and secured workloads. AIVAS permits next-generation high-throughput sequencing algorithms, computational mass spectrometry, and bioinformatics automation by offering the power to make use of advance bioinformatics strategies in scientific environments. This supplies a novel alternative for extra correct insights and sooner outcomes when most critically wanted. AIVAS permits real-time information visualization and processing of computed tomography (CT) and magnetic resonance imaging (MRI) scans for use instances starting from cortical reconstructions to picture reconstruction of positron emission tomography (PET) scans.

Meet the World’s Most Highly effective All-in-One

Enthusiasm for AIVAS is uniquely pronounced in the bioinformatics software program engineering neighborhood. With most compute, unified reminiscence, storage, high-bandwidth community throughput, Graphics Processing Models (GPUs) and Knowledge Middle grade AI accelerators, new use instances and functions are being created at an accelerated tempo.

Key Options of AIVAS

  • Excessive Efficiency: AIVAS is able to over 1,000 trillion operations per second (TOPS), leveraging a cloud-native CPU and 4 NVIDIA GPUs, packing the equal compute capability of two full cloud-native AI servers.
  • Future-proof Structure: AIVAS options 128 CPU Cores with 256 Single Instruction A number of Knowledge (SIMD) superior vector engines, 28,416 NVIDIA CUDA GPU Cores with 92 gigabytes (GBs) of GPU unified high-bandwidth reminiscence, and a couple of,048 GBs (2TB) of unified system reminiscence.
  • Precision and Effectivity: Gives unparalleled precision, real-time information visualization, and processing with the very best vitality effectivity available on the market at solely 700 watts.
  • Intensive Software Assist: Entry to over 1,000 validated and verified software program packages starting from genomic alignment to sequence mapping.
  • Privateness, Safety and Compliance: Researchers and clinicians have full management, safety and safety for information, algorithms, pipelines and functions. With common software program updates assembly the very best stage of stability and robustness.

Actual-World Impression

AIVAS has been met with enthusiasm and validation from early adopters, together with researchers from the Stanford Medical College Division of Neurology and Neurological Sciences and the Acacia Clinics.

Dr. Danielle D. DeSouza, Vice-President of Analysis at Acacia Clinics and Analysis Workers at Stanford College, Division of Neurology, shared her expertise, saying, “Performing cortical reconstruction with AIVAS was considerably sooner than conventional computer systems. We lowered particular person topic reconstructions from over 24 hours to beneath 2 hours per topic and will parallelize to carry out a whole lot of topics at a time. Scientific trial cohort pre-processing that used to take weeks to months was accomplished in beneath per week.”

Reworking Healthcare with AI

AIVAS permits surgeons and medical physicists to conduct real-time reconstructions utilizing industry-standard DICOM photos and movies, together with CT and MRI scans. Leveraging the parallel processing energy of each CPU and GPU with a unified reminiscence structure, AIVAS handles giant datasets effectively and considerably boosts medical reconstruction efficiency.

For extra details about AIVAS or to position an order, please go to www.alafia.ai.

About Alafia Ai, Inc. (“ALAFIA”)

Alafia Ai, Inc. supplies a high-performance precision drugs platform designed to speed up scientific and medical discoveries throughout hospitals, most cancers and imaging facilities, analysis establishments, pharmaceutical organizations, and biotechnology firms. Rooted in the idea that customized care is prime to healthcare excellence, ALAFIA’s imaginative and prescient is to create an clever and adaptable healthcare ecosystem guaranteeing that each affected person receives the very best commonplace of care.

View supply model on businesswire.com:https://www.businesswire.com/news/home/20240814495516/en/

CONTACT: Camilo Buscaron

cam@alafia.ai

+1 341-222-9735

KEYWORD: UNITED STATES JAPAN NORTH AMERICA ASIA PACIFIC FLORIDA

INDUSTRY KEYWORD: SOFTWARE RESEARCH HARDWARE PHARMACEUTICAL ONCOLOGY TECHNOLOGY GENETICS ARTIFICIAL INTELLIGENCE HEALTH TECHNOLOGY SCIENCE NEUROLOGY BIOTECHNOLOGY HEALTH

SOURCE: Alafia Ai, Inc.

Copyright Business Wire 2024.

PUB: 08/17/2024 06:27 PM/DISC: 08/17/2024 06:27 PM

http://www.businesswire.com/news/home/20240814495516/en

Copyright Business Wire 2024.



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