NetworkX GPU Acceleration with cuGraph in Python

Video Description

In this video, we learn how to massively speed-up NetworkX by using cuGraph or to be precise nx-cugraph in Python. This accelerates working with graphs by utilizing the GPU and CUDA. Collab: https://nvda.ws/networkx-cugraph-b Blog: https://nvda.ws/3NVLdVH nx-cugraph: https://github.com/rapidsai/nx-cugraph ◾◾◾◾◾◾◾◾◾◾◾◾◾◾◾◾◾ 📚 Programming Books & Merch 📚 🐍 The Python Bible Book: https://www.neuralnine.com/books/ 💻 The Algorithm Bible Book: https://www.neuralnine.com/books/ 👕 Programming Merch: https://www.neuralnine.com/shop 💼 Services 💼 💻 Freelancing & Tutoring: https://www.neuralnine.com/services 🌐 Social Media & Contact 🌐 📱 Website: https://www.neuralnine.com/ 📷 Instagram: https://www.instagram.com/neuralnine 🐦 Twitter: https://twitter.com/neuralnine 🤵 LinkedIn: https://www.linkedin.com/company/neuralnine/ 📁 GitHub: https://github.com/NeuralNine 🎙 Discord: https://discord.gg/JU4xr8U3dm