The new partnership with NVIDIA evolves the long-standing collaboration between the two companies. OpenAI has pledged to consume 2 gigawatts of training capacity on NVIDIA's Vera Rubin systems and an additional 3 gigawatts of computing resources, likely in the form of GPUs, to run specific AI inference tasks. In other words, NVIDIA is spending a lot of money on OpenAI and then OpenAI will turn around and spend a lot of money with NVIDIA. The ouroboros must feed.
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Defense in depth on top of gVisorgVisor gives you the user-space kernel boundary. What it does not give you automatically is multi-job isolation within a single gVisor sandbox. If you are running multiple untrusted executions inside one runsc container, you still need to layer additional controls. Here is one pattern for doing that: