RunPod GPU Infrastructure — Complete Beginner Tutorial

--- 🧡 Support Linuxademy If these tutorials have helped you, consider supporting the channel. Your optional contribution helps me create more free, hands-on lessons. Thank you for learning with me! https://buy.stripe.com/cNi00ldxs3ppgk... --- 🚀 BEFORE YOU BEGIN: CREATE A RUNPOD ACCOUNT Before launching your first GPU environment, you will need a RunPod account. *RunPod:* https://runpod.io?ref=qhjtk5yr If you sign up using the link above and add $10 for the first time, you may receive a one-time RunPod credit from $5–$500 to use toward GPU resources, subject to RunPod's current referral terms. *REFERRAL DISCLOSURE:* The link above is my RunPod Refer a Friend link. If you sign up and use RunPod through this link, you may receive RunPod credits, and Linuxademy may also receive referral credits and benefits from RunPod. Learn how to launch and operate NVIDIA GPU infrastructure on RunPod using Linux, CUDA, PyTorch, and SSH. This video combines the first three lessons of our step-by-step course: **RunPod GPU Infrastructure**. #What You'll Learn Lesson 1 — Launch and Inspect a RunPod GPU:** Create your first GPU Pod, inspect Linux system resources, and verify CUDA and PyTorch. Lesson 2 — Run a PyTorch Workload on the GPU:** Run real CPU and GPU computations, compare performance, and monitor GPU utilization and VRAM. Lesson 3 — Connect to a RunPod GPU with SSH:** Configure SSH keys, connect from Ubuntu WSL, and manage your remote GPU environment. Requirements A RunPod account Windows with Ubuntu WSL2, or another Linux environment for SSH Basic familiarity with Linux terminal commands RunPod GPU credits or funds to cover usage You can follow along or simply watch to learn. RunPod is a paid GPU cloud service, and usage charges may apply. Each lesson uses a fresh Pod, which we terminate when finished. 🤝 Explore AI education and resources through our partner, AI Certification Council Website https://www.aicertificationcouncil.com Subscribe for more practical Linux, programming, AI, and deployment tutorials. #Linuxademy #RunPod #GPUComputing