What kind of compute does it take to train an AI model? And should we be concerned about the environmental impact? Professor Wondernerd (aka Tony Foster) is back for another Tech Auntie session with the deets.
Our guest for this episode is Tony Foster. He’s a Sr. Principal Technical marketing engineer at Dell Technologies, an adjunct professor of Technology at Kansas State University, or simply the WonderNerd! He describes himself as a VDI/EUC and GPU fanatic bringing Deep Learning, Machine Learning, AI, and HPC to the virtual world.
Show outline/notes
- What is the baseline architecture required to support machine learning and deep learning architectures?
- What sort of carbon footprint are these distributed architectures giving off? Does this taper off after the initial training is completed?
- Do you think these services (like private GPT) will be offered as a service? Should consumers of the service be concerned about the environmental impacts?
You can connect with Tony on LinkedIn, on Twitter, and on his website, Wondernerd.net.
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