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OctoML
Project-centric AI native notebook ide
11 followers
Project-centric AI native notebook ide
11 followers
OctoML is a project-centric, deeply AI-integrated desktop notebook IDE designed entirely from the ground up for modern data scientists. It runs locally as a blazing-fast Electron application, combining the exploratory power of Jupyter notebooks with the speed, AI intelligence, and project management of a modern IDE.
Curious how you handle large datasets or models that need GPU access since it's an Electron app running locally — does it tap into local CUDA setups out of the box or do I need to wire that up myself?
@erdalm26540 At the moment, OctoML uses your existing local Python environment, so if you've already configured CUDA-enabled libraries like PyTorch or TensorFlow, your notebooks can use them just as they would in Jupyter. Native GPU-aware kernel management and execution are something I'm actively working on and are on the roadmap. The goal is to make GPU workflows much more seamless without requiring users to manually wire everything together. I'd love to hear how you're currently managing GPU-based notebook workflows
https://octoml.dev/#timeline