In this video, we break down two key concepts every GPU engineer or ML practitioner should know: VRAM (Video RAM) and ECC (Error Correcting Code).
🔹 What VRAM is and how it differs from system RAM
🔹 How data flows from SSD → RAM → VRAM → GPU cores
🔹 Why GPUs need massive bandwidth for parallel processing
🔹 How ECC VRAM protects against silent data corruption
🔹 What happens with single-bit vs double-bit errors
🔹 Why checkpointing is critical for long-running jobs
Whether you’re running ML workloads, training models, or just curious about how GPUs work under the hood, this video will give you a clear, high-level explanation.
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Standford research link: https://arxiv.org/pdf/0910.0505
