Transforming AI with Cleaner Compute: The Future is Here
AI’s explosive growth is fueled by immense energy demands, with shocking emissions associated especially from fossil fuels. For instance, Stable Diffusion’s recent training model showcased:
- Hardware Used: A100 PCIe 40GB
- Training Time: 150,000 hours
- Total Emissions: ~16,125 kg CO₂e
- Cost: $600,000
However, there’s a smarter way forward. Imagine retraining this model in greener regions, such as Paris, where grid intensity is 24gCO₂/kWh. This shift could reduce emissions by over 90%, translating to 15 flights from New York to London!
Key Takeaways:
- Carbon-aware compute not only benefits the environment but also enhances cost efficiency, potentially saving over $150,000.
- CarbonRunner leads the charge by offering a powerful API that facilitates training AI models in low-carbon regions—reducing emissions AND costs.
Curious about how you can contribute to a greener AI future? Share this post and join the conversation!
