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Explore Google Cloud's HPC solutions for critical workloads, infrastructure advancements, and customer deployments in computational sciences and AI/ML.
Replicate HPC infrastructure experience using cloud resources with Magic Castle. Deploy complete clusters with schedulers, data-transfer nodes, and pre-compiled software in minutes.
Explore LLNL's open-source HPC software portfolio and learn about collaboration opportunities in the exascale era. Gain insights into innovative tools addressing emerging challenges in high-performance computing.
Master the art of having difficult conversations. Discover effective communication skills to speak with assertiveness.
This course will help you gain strong knowledge through hands-on experience with architecting infrastructure using Oracle Cloud Infrastructure services.
Comprehensive UPSC environment preparation covering ecology, biodiversity, climate change, and conservation. Focuses on key concepts, global initiatives, and Indian ecosystems for civil services exams.
Explore Oracle Cloud Infrastructure's high-performance networking using RDMA, covering challenges, optimizations, and unique features for low-latency workloads in public cloud environments.
Explore advanced Kubernetes scheduling techniques using telemetry and GPU awareness for optimized workload placement across various domains like 5G, AI/ML, HPC, and NFV.
Exploring initiatives to enhance Ubuntu for scientific computing and HPC, discussing open-source projects, promoting wider adoption, and addressing challenges in the HPC ecosystem.
Explore OpenHPC's cross-platform provisioning assembly for Warewulf, enhancing HPC cluster management and deployment across diverse hardware environments.
Explore the formation of Ubuntu's HPC community team, their collaborative efforts in developing Charmed HPC, and strategies for addressing challenges in open-source HPC ecosystem engagement.
Learn to simplify software installation on HPC platforms using EasyBuild, a powerful framework for building and managing scientific software stacks.
Explore ARCHER2's comprehensive HPC training program, covering diverse disciplines and user needs. Learn about course design, delivery methods, and tailored training pathways.
Explore the journey from LLM playgrounds to enterprise-scale production pipelines, addressing challenges and leveraging MLOps infrastructure for cutting-edge models.
Explore AI networking fabric design challenges and solutions, focusing on open standards, reliable transport protocols, and Intel's approach to scaling AI infrastructure efficiently.
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