Tesla, Inc. Q3 FY2023 Earnings Call

· Earnings call transcript and AI-powered summary

  • Vehicle Deliveries: Deliveries outpaced production despite factory downtimes for upgrades. Tesla reaffirmed full-year delivery guidance at approximately 1.8 million vehicles.
  • Cost Reductions: Vehicle cost per unit decreased to approximately $37,500, down about $2,000 year-over-year, helped by lower material and freight costs.
  • Energy Business: Energy deployments reached 4 GWh, with Megapack leading strong growth. The energy division posted record profitability and is now Tesla's highest margin business.
  • AI and Autonomy: Elon Musk highlighted progress with FSD v12, describing it as “photon in, controls out,” and referred to Tesla’s AI as "Baby AGI". The FSD Beta has logged over 0.5 billion miles.
  • AI Infrastructure: Tesla has completed a 10,000 H100 GPU training cluster, rapidly accelerating FSD training capacity.
  • Cybertruck: Launch imminent, but Musk emphasized the difficulty in ramping to volume production. He expects it to become cash-flow positive 12–18 months post-launch. Over 1 million reservations have been received.
  • 4680 Battery Cell: Production up 40% QoQ. Cybertruck-specific cells now in production in Texas with higher energy density. Kato Road site being retooled for next-gen cell development.

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Elon Musk: [Call Starts Abruptly]…of new factories and we believe there’s still meaningful room for improvement there. Regarding Autopilot and AI, our vehicles are now driven over 0.5 billion miles with FSD beta, full self-driving beta, and that number is growing rapidly. We recently completed a 10,000 GPU cluster of H100s. We think probably bring it into operation faster than anyone’s ever brought that much compute per unit time into production, since training is the fundamental limiting factor on progress with full self-driving and vehicle autonomy. We’re also seeing significant promise with FSD version 12. This is the end-to-end AI where it’s photon count in, controls out. Really you can think of it as there’s just a large bitstream coming in and a tiny bitstream going out, compressing reality into a very small set of outputs, which is actually kind of how humans work. The vast majority of human data input is optics from our eyes. And so, we are like the car, photons in, controls out with neural nets, just neural nets in the middle. So, interesting to think about that. We’ll continue to invest significantly in AI development, as this is really the mass game changer. And I mean success in this regard in the long-term I think has the potential to make Tesla the most valuable company in the world by far. If you have fully autonomous cars at scale and fully autonomous humanoid robots that are truly useful, it’s not clear what the limit is. Regarding energy storage, we deployed

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