Orkun Erardag’s Post

CEREBRIU is using Oracle #cloud with NVIDIA GPUs to develop a groundbreaking #AI-based tool that accelerates the analysis of MRI brain scans, saving time on diagnoses and lives. 🧠 Learn more: https://lnkd.in/e9Bw2-uT

CEREBRIU is using Oracle #cloud with NVIDIA GPUs to develop a groundbreaking #AI-based tool that accelerates the analysis of MRI brain scans, saving time on diagnoses and lives. 🧠 Learn more: https://lnkd.in/dgeFJGiY

CEREBRIU is using Oracle #cloud with NVIDIA GPUs to develop a groundbreaking #AI-based tool that accelerates the analysis of MRI brain scans, saving time on diagnoses and lives. 🧠 Learn more: https://lnkd.in/dpYvd9N6

CEREBRIU is using Oracle #cloud with NVIDIA GPUs to develop a groundbreaking #AI-based tool that accelerates the analysis of MRI brain scans, saving time on diagnoses and lives. 🧠 Learn more: https://lnkd.in/eETExa4X

CEREBRIU is using Oracle #cloud with NVIDIA GPUs to develop a groundbreaking #AI-based tool that accelerates the analysis of MRI brain scans, saving time on diagnoses and lives. 🧠 Learn more: https://lnkd.in/ebqFAe7i

CEREBRIU is using Oracle #cloud with NVIDIA GPUs to develop a groundbreaking #AI-based tool that accelerates the analysis of MRI brain scans, saving time on diagnoses and lives. 🧠 Learn more: https://lnkd.in/dpjNhHar

CEREBRIU is using Oracle #cloud with NVIDIA GPUs to develop a groundbreaking #AI-based tool that accelerates the analysis of MRI brain scans, saving time on diagnoses and lives. 🧠 Learn more: https://lnkd.in/ejjbUVYq

Accelerating Cryo-EM with AI and GPUs... Cryo-electron microscopy (Cryo-EM) is revolutionizing how scientists visualize biological structures at the molecular level. However, the computational demands of Cryo-EM are immense. With GPU acceleration, AI can significantly reduce the time it takes to process high-resolution Cryo-EM data, which is crucial for understanding cellular mechanics and advancing drug design. Using a sustainable AI infrastructure to power these GPU-intensive tasks is not just good for the planet—it’s necessary. Leveraging renewable energy for high-performance computing ensures that scientific breakthroughs don’t leave behind a heavy carbon footprint. Learn more at SolunaCloud.com #CryoEM #Biotech #AI #SustainableAI #LifeSciences

To address the increasing need for real-time AI computing in this digital age, Partex NV, a trailblazer in AI-powered Drug Assets Management and Yotta Data Services, a leader in AI with its own sovereign AI platform, hyperscale cloud, and data center services have announced an innovative partnership aimed at revolutionizing the healthcare industry through advanced AI technology. This groundbreaking collaboration will utilize Yotta’s cutting-edge Shakti-Cloud platform, bolstered by robust Nvidia H100 GPU computing infrastructure, to support Partex NV’s sophisticated AI-driven healthcare solutions. The partnership is dedicated to developing and deploying AI-based applications that will significantly enhance the efficiency and effectiveness of healthcare services, particularly in drug discovery and patient care. Read more: https://lnkd.in/dcpyD8yM #IndiaTechnologyNews #PartexNV #Yotta #HealthcareAI #HealthTech #AIPartnership #AIinHealthcare #MedicalInnovation #DigitalHealth #HealthTechNews

Join us on January 29 at 8:00 AM PST/11:00 AM EST to explore advances in designing and scaling #datacenter infrastructure for #AI. This session, featuring industry experts from TIRIAS Research, NVIDIA, and Vertiv will cover actionable strategies for enhancing #powerefficiency, #thermalmanagement, and compute density to support next-generation AI applications. Learn strategies to: Design high-performance data centers tailored for AI training and inference workloads. Implement advanced cooling solutions to maximize GPU utilization and reliability. Optimize power distribution and energy efficiency to reduce operational costs. Don’t miss this opportunity to learn how to adapt your infrastructure with the evolving demands of AI. Register here: http://ms.spr.ly/6044Uyfb2