Skip to Content Facebook Feature Image

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

News

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

News

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

2024-08-18 06:27 Last Updated At:06:31

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

Alafia Ai, Inc. (“ALAFIA”), announces the general availability of AIVAS, an all-in-one interactive high-performance personal supercomputer 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. 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.

This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20240814495516/en/

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

The increasing complexity of applications in fields like digital pathology, neurology, genetics research, radiation oncology, 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 image reconstruction of positron emission tomography (PET) scans.

Meet the World’s Most Powerful All-in-One

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

Real-World Impact

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.”

Transforming Healthcare with AI

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.

For more information about AIVAS or to place an order, please visit www.alafia.ai.

About Alafia Ai, Inc. (“ALAFIA”)

Alafia Ai, Inc. provides a high-performance precision medicine platform designed to accelerate scientific and medical discoveries across hospitals, cancer and imaging centers, research institutions, pharmaceutical organizations, and biotechnology companies. Rooted in the belief that personalized care is fundamental to healthcare excellence, ALAFIA’s vision is to create an intelligent and adaptable healthcare ecosystem ensuring that every patient receives the highest standard of care.

ALAFIA AIVAS Supercomputer, an all-in-one interactive high-performance personal supercomputer (HPC) designed to revolutionize the development and deployment of critical artificial intelligence (AI) software applications. Accelerates molecular dynamics simulations of classical Newtonian and quantum chemistry equations of motion for systems with hundreds to millions of particles. Using AIVAS researchers experience a 80-100X performance boost with marginal price increase. (Photo: Business Wire)

ALAFIA AIVAS Supercomputer, an all-in-one interactive high-performance personal supercomputer (HPC) designed to revolutionize the development and deployment of critical artificial intelligence (AI) software applications. Accelerates molecular dynamics simulations of classical Newtonian and quantum chemistry equations of motion for systems with hundreds to millions of particles. Using AIVAS researchers experience a 80-100X performance boost with marginal price increase. (Photo: Business Wire)

ALAFIA AIVAS all-in-one interactive high-performance personal supercomputer (HPC) designed to revolutionize the development and deployment of critical artificial intelligence (AI) software applications. Showcasing a digital pathology application in which AIVAS can perform pixel classification, and cell segmentation over 100X faster than a typical personal computer. Whole-slide scans that typically take 30mins to an hour to be processed, can be processed in AIVAS in under one minute. (Photo: Business Wire)

ALAFIA AIVAS all-in-one interactive high-performance personal supercomputer (HPC) designed to revolutionize the development and deployment of critical artificial intelligence (AI) software applications. Showcasing a digital pathology application in which AIVAS can perform pixel classification, and cell segmentation over 100X faster than a typical personal computer. Whole-slide scans that typically take 30mins to an hour to be processed, can be processed in AIVAS in under one minute. (Photo: Business Wire)

ALAFIA AIVAS all-in-one interactive high-performance personal supercomputer (HPC) designed to revolutionize the development and deployment of critical artificial intelligence (AI) software applications. (Photo: Business Wire)

ALAFIA AIVAS all-in-one interactive high-performance personal supercomputer (HPC) designed to revolutionize the development and deployment of critical artificial intelligence (AI) software applications. (Photo: Business Wire)

Next Article

Tuch's short-handed goal helps the Sabres rally for a 4-2 win over the Sharks

2024-11-24 11:55 Last Updated At:12:01

SAN JOSE, Calif. (AP) — Alex Tuch scored a short-handed goal early in the third period to give Buffalo its first lead and the Sabres beat the San Jose Sharks 4-2 on Saturday night.

Tuch intercepted a pass in his defensive zone and beat Mackenzie Blackwood on a breakaway for his third short-handed goal of the season. That gave Buffalo a come-from-behind win and spoiled the night for the sellout crowd that turned out to watch Joe Thornton get his No. 19 jersey retired.

Dylan Cozens scored earlier in the third to tie the game and Peyton Krebs also scored for Buffalo. Rasmus Dahlin iced it with an empty-netter.

James Reimer made 31 saves in his first game in San Jose since leaving the Sharks following the 2022-23 season.

Fabian Zetterlund and Luke Kunin scored for the Sharks, who have only one win in their last seven games.

Blackwood made 27 saves for San Jose.

Sabres: Buffalo rallied for the win a night after erasing a two-goal deficit to beat Anaheim in overtime.

Sharks: San Jose was let down by its power play, going 0 for 5 and allowing the short-handed goal. The Sharks had three power plays in the third, including 19 seconds of a two-man advantage.

The Thornton tributes carried over to the game. Zetterlund stroked an imaginary beard and pointed to the Thornton jersey in the rafters after he scored. Krebs pointed to the 19 on the back of his jersey after his goal.

After winning games in Los Angeles and Anaheim earlier in this road trip, the Sabres completed the rare California sweep. The only other time Buffalo won road games at San Jose, Anaheim and Los Angeles in the same season came in the 2011-12 season.

Sabres host Minnesota on Wednesday night, and Sharks host Los Angeles on Monday night.

AP NHL: https://www.apnews.com/hub/NHL

Joe Thornton, standing with his wife Tabea and children River and Ayla, waves to the crowd during a ceremony to retire his jersey before an NHL hockey game between the San Jose Sharks and the Buffalo Sabres Saturday, Nov. 23, 2024, in San Jose, California. (Ezra Shaw/Pool Photo via AP)

Joe Thornton, standing with his wife Tabea and children River and Ayla, waves to the crowd during a ceremony to retire his jersey before an NHL hockey game between the San Jose Sharks and the Buffalo Sabres Saturday, Nov. 23, 2024, in San Jose, California. (Ezra Shaw/Pool Photo via AP)

Joe Thornton, second from right, hugs members of his family during a ceremony to retire his jersey before an NHL Hockey game between the San Jose Sharks and the Buffalo Sabres, Saturday, Nov. 23, 2024 in San Jose, California. (Ezra Shaw/ Pool Photo via AP)

Joe Thornton, second from right, hugs members of his family during a ceremony to retire his jersey before an NHL Hockey game between the San Jose Sharks and the Buffalo Sabres, Saturday, Nov. 23, 2024 in San Jose, California. (Ezra Shaw/ Pool Photo via AP)

Buffalo Sabres goaltender James Reimer (47) blocks a shot by San Jose Sharks center Macklin Celebrini (71) during the first period of an NHL hockey game in San Jose, Calif., Saturday, Nov. 23, 2024. (AP Photo/Tony Avelar)

Buffalo Sabres goaltender James Reimer (47) blocks a shot by San Jose Sharks center Macklin Celebrini (71) during the first period of an NHL hockey game in San Jose, Calif., Saturday, Nov. 23, 2024. (AP Photo/Tony Avelar)

San Jose Sharks goaltender Mackenzie Blackwood blocks a shot against the Buffalo Sabres during the second period of an NHL hockey game in San Jose, Calif., Saturday, Nov. 23, 2024. (AP Photo/Tony Avelar)

San Jose Sharks goaltender Mackenzie Blackwood blocks a shot against the Buffalo Sabres during the second period of an NHL hockey game in San Jose, Calif., Saturday, Nov. 23, 2024. (AP Photo/Tony Avelar)

Buffalo Sabres center Dylan Cozens (24) skates up the ice against San Jose Sharks defenseman Jake Walman (96) during the second period of an NHL hockey game in San Jose, Calif., Saturday, Nov. 23, 2024. (AP Photo/Tony Avelar)

Buffalo Sabres center Dylan Cozens (24) skates up the ice against San Jose Sharks defenseman Jake Walman (96) during the second period of an NHL hockey game in San Jose, Calif., Saturday, Nov. 23, 2024. (AP Photo/Tony Avelar)

Buffalo Sabres center Peyton Krebs (19) battles for the puck against San Jose Sharks defenseman Jake Walman (96) during the second period of an NHL hockey game in San Jose, Calif., Saturday, Nov. 23, 2024. (AP Photo/Tony Avelar)

Buffalo Sabres center Peyton Krebs (19) battles for the puck against San Jose Sharks defenseman Jake Walman (96) during the second period of an NHL hockey game in San Jose, Calif., Saturday, Nov. 23, 2024. (AP Photo/Tony Avelar)

Buffalo Sabres center Peyton Krebs (19) is congratulated by teammates after scoring a goal against the San Jose Sharks during the first period of an NHL hockey game in San Jose, Calif., Saturday, Nov. 23, 2024. (AP Photo/Tony Avelar)

Buffalo Sabres center Peyton Krebs (19) is congratulated by teammates after scoring a goal against the San Jose Sharks during the first period of an NHL hockey game in San Jose, Calif., Saturday, Nov. 23, 2024. (AP Photo/Tony Avelar)

Recommended Articles