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hrichardlee
searching PlanetScale…
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Kubernetes was never designed for batch jobs
(medium.com)
1 points
by
hrichardlee
4y ago
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2 comments
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hrichardlee
4y ago
Hi HN, This is a blog post + python code that demos how to run text to image ML models like Craiyon (formerly DALL·E Mini) yourself on AWS GPU compute, with the help of an OSS tool called Meadowrun we've been working on. Happy to take
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Run Your Own DALL·E Mini (Craiyon) Server on EC2 with Meadowrun
(medium.com)
2 points
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hrichardlee
4y ago
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1 comments
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hrichardlee
4y ago
Fair point, I've edited the Medium post's title, but I'm not able to make changes to the Hacker News post
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Why Starting Python on a Fresh EC2 Instance Takes over a Minute
(medium.com)
6 points
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hrichardlee
4y ago
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2 comments
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Using AWS and Hyperscan to match regular expressions on 100GB of text
(medium.com)
6 points
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hrichardlee
4y ago
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0 comments
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hrichardlee
4y ago
Seems like we're definitely on the same wavelength! We'd love to hear more about your experiences--I'll reach out directly
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hrichardlee
4y ago
Thank you! Fargate is more of a maybe for us as it doesn't seem to offer a ton of advantages over EC2. It still takes about 30 seconds to launch a Fargate job, and as far as I can tell there's no way to "keep an instance arou
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hrichardlee
4y ago
Thank you! We appreciate it!
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hrichardlee
4y ago
One pro is less overhead--I think all of the major options for an autoscaling Kubernetes cluster require at least one node that's always on. Meadowrun uses AWS Lambda/Azure Functions to manage instances, so it gets a lot closer to