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Free & Unofficial Tutorials

Master CUDA Programming

Learn GPU parallel computing from the ground up — and run CUDA code online with no GPU required. Free tutorials, real code examples, and a cloud-powered playground. Not affiliated with NVIDIA.

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Why cuda.live?

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Step-by-Step Tutorials

Seven chapters covering everything from "What is a GPU?" to advanced performance optimization with real CUDA C/C++ code.

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Run CUDA Online, No GPU Needed

Write and execute real CUDA kernels directly in your browser — no GPU, no local toolchain required. Powered by cloud GPUs.

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Zero to Parallel

Go from zero knowledge to writing optimized GPU kernels. Each chapter builds on the previous, with exercises along the way.

Curriculum

0
Installing CUDA
Toolkit setup on Windows & Linux
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1
Introduction to CUDA
What is GPU computing?
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2
Programming Model
Threads, blocks & grids
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3
Memory Management
Global, shared & constant memory
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4
Kernels & Execution
Launching & configuring kernels
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5
Synchronization
Thread sync & atomics
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6
Streams & Concurrency
Overlapping computation & transfers
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7
Performance Optimization
Coalescing, occupancy & profiling
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Code Playground
Run real CUDA code online — no GPU needed
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