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  "documentTitle": "2025 Bond Cap Artificial Intelligence AI 2025",
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  "notes": "The chart illustrates a significant step-up in capacity, with a distinction between existing and future planned capacity.",
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      "text": "We're continuing to simultaneously make significant purchases of GPUs and also putting a lot of effort into Dojo [custom supercomputer], which we believe has the potential for an order of magnitude improvement in the cost of training...",
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      "text": "Note: Listing capacity in 'H100-equivalent GPUs' means Tesla converts the aggregate AI-training throughput of Dojo and its other accelerators into the number of NVIDIA Hopper H100 data-center GPUs that would deliver the same FP8/FP16 FLOPS, giving a single, industry-standard yard-stick for compute scale. Source: Tesla Q1:23 earnings call, Tesla Q3:24 investor presentation, Data Center Dynamics, Wikimedia Commons",
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      "text": "We're continuing to simultaneously make significant purchases of GPUs and also putting a lot of effort into Dojo [custom supercomputer], which we believe has the potential for an order of magnitude improvement in the cost of training... ...Dojo also has the potential to become a sellable service that we would offer to other companies, in the same way that Amazon Web Services offers more web services, even though it started out as a bookstore. So, I really think that the Dojo potential is very significant. - Tesla Co-Founder & CEO Elon Musk, 4/23",
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      "text": "AI Monetization...Data Collection + Supercomputing = Tesla AI Training Capacity +8.5x",
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      "text": "Tesla Dojo Custom Supercomputer – 6/21-9/24, per Tesla",
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