Netflix has a really ambitious goal to create more content than practically anyone, but ran into headwinds when Covid-19 forced us all to lock down: it became hard to recruit and support artists, editors and other creatives without finding …
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Batch processing is a common need across varied machine learning use cases such as video production, financial modeling, drug discovery, or genomic research. The elasticity of the cloud provides efficient ways to scale and simplify batch …
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Nextflow Tower became necessary when lots of Nextflow users started to leave the confines of their existing environments in search of more compute, more storage, more capabilities. Nextflow made their workflows portable, but there was still …
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NF Core is an open source repository of Nextflow workflows that can be downloaded, shared, forked, updated, tested and validated. If you’ve ever heard that quote from Isaac Newtown about seeing further by standing on the shoulders of …
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Today, the BMW Group launched a global open innovation challenge focused on discovering potential quantum computing solutions for real-world use cases: The BMW Group Quantum Computing Challenge. We are delighted to collaborate with BMW on …
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AWS has a LOT of storage options (block, PIOPS, object, volume, loads of file sytems), pretty much all of which can be used for HPC. That’s because we’re not forced to come up with one single massively fast storage solution that …
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Introduction This post summarizes a research paper from the AWS Center for Quantum Computing that proposes a direction to implement fault-tolerant quantum computers with minimal hardware overhead. This research shows that by concatenating …
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Now that AWS Batch supports AWS Fargate, you can submit jobs any time you like, and AWS just spins up the resources you need when you need them, REALLY quickly (because that’s what Fargate is awesome at). You don’t need to keep …
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