Flyte

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Flyte

Flyte

@flyteorg

Flyte is an open-source workflow orchestration platform for building data, ML and analytics workflows. GitHub: https://t.co/jslWzooghL Slack: https://t.co/MsvwFr98mc

Open Source شامل ہوئے Mart 2019
118 فالونگ1K فالوورز
Flyte
Flyte@flyteorg·
🚀 Scale Smarter, Not Harder 🚀 Flyte unifies your data and ML pipelines with cloud-native scalability! ✅ Dynamic workflows adapt to changing needs—no more rigid DAGs. ✅ Cut costs by 80%+ with spot instances—just set interruptible=True. 👉 Learn more: hubs.la/Q036-j2L0
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Flyte
Flyte@flyteorg·
🚀 We're excited to share what's new in Flyte 1.15! Major highlights: 📊 Streaming Decks 🔐 Better Secrets Handling ⚡️ Enhanced Task Caching 📦 Quality of Life Updates Full release notes: hubs.la/Q036ZXkF0 Thanks to 12 new contributors who made this possible! 🙌
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Flyte
Flyte@flyteorg·
- Deeply integrated with Kubernetes - Using AWS-native constructs - Reliable by design This is what the Flyte reference implementation for EKS achieves in minutes using Terraform/OpenTofu. Get started: github.com/unionai-oss/de… Read the blog: hubs.la/Q0364GPH0
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Flyte@flyteorg·
@hyperprior @Wooltard Some additional info: #versions" target="_blank" rel="nofollow noopener">docs.flyte.org/en/latest/user… Let us know if that helps
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hyperprior
hyperprior@hyperprior·
so you can use regular python hints to enforce your pipeline at compile time and also you can use pandera or great expectations to have super granular types and checks on your output data frames not really sure what the immutability means exactly only been using it for a day, unless they mean caching?
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Flyte
Flyte@flyteorg·
@hyperprior @Wooltard Hey! So the immutability aspect partially has to do with caching but is optional so not completely a system property. By default, every execution gets a version ID that cannot be altered. Also, it instantiates a CRD every time which stores state
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Flyte
Flyte@flyteorg·
🔥Go from hidden states and hard-to-share experiments to reproducible executions. 🚀Tap into elastic compute resources straight from your Notebooks! Learn how Flyte makes it possible: flyte.org/blog/jupyter-n…
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Flyte
Flyte@flyteorg·
🔥 Learn how to go from zero to production-grade ML orchestration on #Azure: azure.github.io/AKS/2024/11/20… Thanks to @Azure team for their input and feedback; it enabled us to add integrations with Azure Container Insights, AKS node auto-upgrade, and more!
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Flyte
Flyte@flyteorg·
We just reproduced benchmarks of the Liger Kernels package using: - Flyte - One A100 GPU - Phi3 Mini Results? 🔥 Effectively 20% -30% higher token throughput with 6% - 13% less reserved memory compared to vanilla transformers. Dive into the details! flyte.org/blog/reproduci…
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Flyte
Flyte@flyteorg·
Welcoming Rafael Raposo to Flyte's Technical Steering Committee. We're grateful for @SpotifyEng's support to the project throughout the years, and Rafael's personal commitment to represent our community values. hubs.la/Q02C7FbK0
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Flyte@flyteorg·
Welcoming Rafael Raposo to Flyte's Technical Steering Committee. We're grateful for @SpotifyEng's support to the project throughout the years, and Rafael's personal commitment to represent our community values. hubs.la/Q02C7zjH0
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Flyte
Flyte@flyteorg·
Our next Community sync will include 2 🔥 sessions: 1️⃣9:00 - 9:30 am PT How @go_brain_space uses Flyte to develop a new breed of models 🧠 2️⃣9:30 - 10:00 am PT 💥Live demo of @union_ai's Serverless platform +Q&A moderated by @kelseyhightower! Register: bit.ly/enablemlops
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Flyte
Flyte@flyteorg·
Special mention to Greg Gydush, Robert Deaton, Roger Torrentsgenerós and Jason Parraga for their continued support and contributions to Flyte!
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Flyte
Flyte@flyteorg·
✨ Monthly Contributors Spotlight ✨ A huge shoutout to our contributors of the month: Austin Liu, Tom Newton, Rafael Raposo and Brian Chen 👏
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