Explore tweets tagged as #parallelcluster
🆕🎉 #AWS #ParallelCluster 3.5 is here with a brand new UI! .💻👨💼 Simplified #HPC cluster deployment and management.🦾🕰️ Enhanced reliability compute node reboots.👩💻🐍 Programmatic access via Python library.🪲💣 Improved error reporting .Learn more:
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On #PiDay, let's look back at #AWS #ParallelCluster progress since version 3.14 (5/2022) 🦺 Some features we've added:.☑ODCR support.☑Multi-AZ clusters.☑Slurm accounting.☑Dynamic filesystems.☑Memory-aware scheduling.☑Flexible instance types.👩🏻🎓
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🐍 What is the official animal of Pi Day? The pi-thon!.🤖 While we're on the topic, @awscloud #ParallelCluster is a #Python application that helps you design, provision, and manage elastic #HPC clusters in the cloud. 💡Learn more at #PiDay
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🎉 #AWS #ParallelCluster 3.6 is out for #ISC2023.Featuring:.💿 RHEL8.7 support.🩺 GPU health checks.🛠️ Custom Slurm configs.🔖 Queue + resource tags.🌤️ CloudFormation support.🔥 Up to 50 queues.💵 Budgeting (!).🚀 Multiple custom action scripts.Read more:
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Since 2018, Kronos has led the way in high-frequency quantitative trading. 🚀 At @aba_summit , our HPC Manager Kyle Tsai was invited to speak on "HPC Scalable Computing Farm on AWS". With trading volume soaring, Kronos adopted @awscloud “ParallelCluster” and “FSx for Lustre” to
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The hybrid quantum-classical workflow – orchestrated via CUDA-Q on Amazon Braket, accelerated with NVIDIA H200 GPUs through AWS ParallelCluster – delivered more than a 20x speedup in time-to-solution compared to prior benchmarks. This advancement highlights the scalability of.
IonQ, @awscloud, @AstraZeneca, & @nvidia collaborated to develop and demonstrate a hybrid quantum-classical workflow with 20x faster chemistry simulations—a breakthrough for drug discovery. Results will be showcased at #ISC2025 in Hamburg this week.
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Join us on 16 October 2024 for the Analysis Workflows via AWS Cloud Computing workshop. Learn how to run HPC workflows using parallelCluster and AWS batch. Limited spots available, apply now until 23rd September 2024. Register at: .#DIPLOMICS #AWSWorkshop
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Bursting #HPC workloads to the #Cloud with #Amazon File Cache and #AWS ParallelCluster @AWS_Storage #CloudComputing #CloudStorage #Innovation #DigitalTransformation
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