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AI & Machine Learning · Foundational

CUDA

Compute Unified Device Architecture: NVIDIA's parallel computing platform and programming model for GPUs.

Definition

CUDA lets developers write kernels that run across thousands of GPU threads and provides libraries such as cuBLAS, cuDNN and NCCL. Frameworks like PyTorch and TensorFlow rely on CUDA for GPU acceleration. The CUDA toolkit version must be compatible with the installed NVIDIA driver.

Exam tip

Driver/CUDA version mismatches are a classic cause of GPU job failures.

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