AI Videos

CUDA Programming for NVIDIA H100s – Comprehensive Course

The video introduces a free, intensive 24‑hour curriculum that bridges basic coding to high‑performance CUDA programming on NVIDIA Hopper H100 GPUs. Aimed at engineers and senior technical leaders, the course promises hands‑on instruction in building efficient WGMMA pipelines, leveraging cutlass optimizations, and mastering the asynchronous execution model that powers modern AI workloads. Key insights span the full hardware‑software stack: from the H100 architecture and tensor memory accelerator to low‑level PTX instructions like cp.async.bulk, and finally to multi‑GPU scaling using NCCL and various parallelism strategies for trillion‑parameter models. Prerequisites include solid C++ fundamentals, prior CUDA kernel experience, and a working knowledge of matrix multiplication and transformer concepts. The instructor repeatedly stresses that no comparable free resource exists, positioning the course as a democratizing effort. He highlights the importance of mental models, AI assistants, and a step‑by‑step learning staircase, warning against trying to master every optimization simultaneously. Real‑world examples include dissecting cutlass source code and applying WGMMA sparse tensor operations. For businesses, the training equips developers to extract near‑peak performance from H100 hardware, accelerating AI model training and reducing reliance on costly consulting or proprietary tutorials. Companies adopting the curriculum can expect faster time‑to‑market for AI products and a deeper internal talent pool capable of sustaining competitive advantage on cutting‑edge GPU platforms.