This story contains new, firsthand information uncovered by the writer.
When evaluating computational power, especially in terms of CPUs and GPUs, there’s a prevailing narrative. A general belief is, that CPUs may take longer to process, but they're cost-effective, whereas GPUs might be faster but operate at a higher cost. How true is this widely accepted notion? To challenge this belief, we conducted a tangible, real-world assessment using instances and FFmpeg for video transcoding benchmarks.
FFmpeg To execute our transcoding tasks, we used the following benchmark script: #!/bin/bash if lspci | grep -i "NVIDIA Corporation" >/dev/null; then echo "System has a GPU" commands= else commands= fi for cmd in "${commands}"; do echo "--------------------------------------------------------------------------------" echo "Executing: $cmd" echo "--------------------------------------------------------------------------------" # Use...
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