
When (and why) to upgrade your Python version
Python versions carry a security clock and a performance upgrade you're leaving on the table — here's what changes when you move off an old interpreter, and when it's fine to wait.
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Join Runpod CEO Zhen Lu and Data Science Dojo CEO Raja Iqbal on October 11 for a live fireside chat about GPU-powered AI transformation and the future of.

Join us for an engaging fireside chat with Runpod on the cutting-edge GPU solutions that are revolutionizing the ML landscape and driving seamless AI transformation. Runpod and Data Science Dojo are excited to collaborate in this fireside chat and provide insights into the cutting-edge GPU solutions reshaping the ML landscape and driving seamless AI transformation.

This is an exciting time for large language models, with Llama-2 finetunes dominating the open source LLM landscape and the scope of 100b+ models continuing to grow. The required compute to harness these models also continues to grow as a natural result, which leads to challenges that require expertise and know-how to overcome.
During this event, you'll discover:
To register, please do so through LinkedIn here.
See you there!
Author profile: Brendan McKeag
Blog Posts

Python versions carry a security clock and a performance upgrade you're leaving on the table — here's what changes when you move off an old interpreter, and when it's fine to wait.

By optimizing test architecture through pool-mode parallelization and isolated worker identities rather than increasing compute resources, the team successfully reduced merge-queue CI times by 55%.
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Three storage layers, three lifetimes, and how to get your work onto the right one before you lose it instead of after.