Let’s program to fight the impacts of climate change!
summary
Claims concrete numbers: training a GPT‑3–scale model uses ~1,287 MW and produced ~552 tons CO2, and ChatGPT emits ~23.04 kg CO2 per day; shows tools and demos that produce measurable outputs: Carbon Aware SDK, codecarbon, and cloud‑carbon‑footprint run as a local web API and Python tracker. Live demo runs a CNN and returns watts and metric tons, cloud dashboard totals months of VM emissions, and the tools reliably estimate hardware, region, and time‑shifted savings.
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chapters (15)
- 0:00Climate-focused programming
- 2:27Why climate change matters
- 4:34Energy in cloud computing
- 6:27Carbon awareness in software
- 7:52Measuring carbon intensity
- 9:17AI carbon footprint
- 11:03Carbon-aware SDK
- 13:17Demo: carbon-aware SDK
- 16:44Co2-carbon for hardware
- 18:31Demo: Co2-carbon tracking
- 20:41Cloud carbon calculator
- 22:04Demo: cloud carbon tool
- 25:42Key takeaways
- 27:45Support and resources
- 28:26Q&A
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