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Genomics Ready Architecture for HPC
Discover how to overcome the data analysis challenge of variant calling to sequence and assemble more genomes, faster. Optimised for specific workloads to improve performance and speed time-to-production, customers have achieved 56 human genomes processed in 54 hours at 50x coverage.
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 Cloudera Reference Architecture for Data Analytics Discover how to overcome the complexities of legacy IT and reduce the time to onboard new use cases with this multi-function analytics and data management platform. Optimised for deployment within the data centre and ready to support both hybrid and multi-cloud deployments.
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Powering the AI Data Workbench with Dell EMC
The future of artificial intelligence is now. Building the models that power artificial intelligence requires data science teams be equipped with the right tools for each step of the development process. This webinar covers the lifecycle of a data science project and will learn how Dell EMC infrastructure accelerates machine learning and deep learning model development.
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Domino Data Labs Reference Architecture for AI
Discover how to overcome the complex task of modelling and learn how to speed up development, delivery and monitoring of AI models. Set up an optimal environment in weeks with the right people, data sources and computing resources to develop intelligent software applications with great ROI.
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Dell Ready Architecture for DataRobot
Dell Technologies and DataRobot work together to test and tune AI systems built on the knowledge, experience and best practices of the world’s leading data scientists and engineers, offering an automated ML platform for data scientists of all skill levels to build and deploy accurate ML models in a fraction of the time.
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PixStor Ready Architecture for HPC
Discover how to deliver high-performance storage with limitless scale at lower cost than traditional legacy technologies. Intelligently moving data through the storage tiers and backed by a powerful policy and event engine, customers are achieving 31 million calculations in a single second.
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H2O.ai Reference Architecture for AI
Discover how to accelerate machine learning to improve customer experiences and streamline processes, while reducing waste and fraud. Taking advantage of open‑source distributed in‑memory and linear scalability, users can reduce analysis times from 9 months to just 2 hours.
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