OpenAI details the storage platform behind ChatGPT’s global scale, while AI infrastructure faces a sharper energy debate in New Mexico. We also examine a serverless inference framework and new research on extracting structured information from legal documents.
Covered in this episode:
- OpenAI’s Habitat storage platform, serving more than 1 billion people weekly
- Oracle’s proposed renewable-energy projects for the OpenAI Project Jupiter data center
- MOPAR, a model-partitioning approach for serverless deep-learning inference
- Fine-tuned language models for legal entity extraction in criminal judgments
- Enterprise agent governance, Anthropic compute capacity, auditable agent workflows, and open-weight search agents
Sources:
- OpenAI, Habitat storage platform: https://openai.com/index/scaling-storage-one-billion-users-part-one
- Ars Technica, Oracle and Project Jupiter renewables: https://arstechnica.com/gadgets/2026/09/oracle-promises-2-gw-of-renewables-to-match-stargate-data-center-emissions/
- MOPAR paper: https://doi.org/10.1145/3832810.3832925
- Legal entity extraction paper: https://doi.org/10.1016/j.ipm.2026.105132
- Business Standard, enterprise AI governance: https://www.business-standard.com/technology/tech-news/businesses-put-up-guard-rails-in-deploying-ai-prioritise-governance-126091300768_1.html
- Fox News, AI and national security comments: https://www.foxnews.com/video/6405006966112
- The Information, Anthropic compute deal: https://www.theinformation.com/articles/anthropic-strikes-13-7-billion-compute-deal-trump-linked-rum-group
- Simon Willison, GPT-6 Astra route generation: https://simonwillison.net/2026/Sep/12/astra-running-routes/
- The Decoder, Iris search agents: https://the-decoder.com/iris-mini-and-iris-pro-are-the-strongest-open-weight-search-agents-in-their-class/