In this episode, we discuss OpenAI's GPT-6 Astra, GPT-6.1 Sol and GPT-6 Luna models arriving on Google Cloud through a private preview in Model Garden. We explain how enterprises can now pay for OpenAI models with existing Google Cloud commitments, run Codex workflows on Google infrastructure, and soon access OpenAI inside Google Antigravity and Gemini Agent. We also cover NVIDIA's OpenShell Reference Architecture, which uses Vera Rubin GPUs, Vera CPUs and BlueField-4 chips to govern AI agents in hardware, and Google's open source TorchTPU, built with Meta's PyTorch team, which runs PyTorch code directly on Google TPUs. Finally, we look at DeepSeek open sourcing DeepInfer, the AI inference engine behind its own service, with support for both NVIDIA GPUs and Huawei Ascend chips.
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This podcast is an independent production and is not affiliated with, endorsed by, or sponsored by OpenAI, Google, NVIDIA, Meta, Microsoft, DeepSeek, Huawei, Moor Insights and Strategy, or any other entities mentioned unless explicitly mentioned. The content provided is for informational and entertainment purposes only and does not constitute professional, technical, financial, or legal advice. This episode contains affiliate links, and we may earn a commission if you make a purchase through them at no additional cost to you. All trademarks, logos, and copyrights mentioned are the property of their respective owners.
