We manage compute as a single, fungible pool from multiple strategic partners, and we dynamically direct available compute between workloads based on where the marginal unit is expected to be most productive at any given time.
In the prospectus: Prospectus summary: Our Approach to Compute (original filing on SEC EDGAR)
In other words, they’ve built a dynamic compute platform: when the consumer side needs more compute, more goes to the consumer side, and whatever frees up goes to research and training.
We have achieved this through our research breakthroughs and our multi-chip compute architecture across AWS Trainium, Google TPUs, NVIDIA GPUs, and AMD GPUs, enabling us to orchestrate workloads to optimize for price and performance.
In the prospectus: Prospectus summary: Our Approach to Compute (original filing on SEC EDGAR)
And it’s one unified dynamic compute platform that spans hardware platforms.