
Hetelek
Jupyter Notebooks in the cloud, on powerful GPUs.
Hetelek launched on November 15, 2017 with 3 votes.
What it does
Hetelek helps individuals and startups to quickly get started with machine learning. We allow individuals to harness powerful GPUs in the cloud for pennies, and have pre-installed common machine learning libraries (TensorFlow, Keras, OpenCV, etc). You also have unlimited, persistent storage in the cloud.
Does a similar job
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Adding Mistral Codestral and GPT-4o to Jupyter Notebooks2024 · github.com · ▲269Hey HN! We’ve forked Jupyter Lab and added AI code generation features that feel native and have all the context about your notebook. You can see a demo video (2 min) here: https://www.tella.tv/video/clxt7ei4v00rr09i5gt1laop6/view Try a hosted version here: https://pretzelai.app Jupyter is by far the most used Data Science tool. Despite its popularity, it still lacks good code-generation extensions. The flagship AI extension jupyter-ai lags far behind in features and UX compared to modern AI code generation and understanding tools (like…

- TCTensorDock Core GPU Cloud – GPU servers from $0.29/hr2022 · tensordock.com · ▲147
Hello HN! I’m Jonathan from TensorDock. After 7 months in beta, we’re finally launching Core Cloud, our platform to deploy GPU virtual machines in as little as 45 seconds! https://www.tensordock.com/product-core Why? Training machine learning workloads at large clouds can be extremely expensive. This left us wondering, “how did cloud ever become more expensive than on-prem?” I’ve seen too many ML startups buy their own hardware. Cheaper dedicated servers with NVIDIA GPUs are not too hard to find, but they lack the functionality and scalability of the big clouds. We thought to…


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