Elon Musk's recent denial of a $52 billion SpaceX-NVIDIA GPU deal has sparked curiosity and speculation about the company's AI ambitions. While the story was initially reported by Taiwanese media, citing unnamed industry sources, Musk's blunt response on X, "This is fake news," quickly put an end to the rumors. However, the scale of the rumored deal aligns with SpaceX's explosive growth in AI infrastructure, particularly its focus on large-scale training and inference. NVIDIA's GB300 racks, which SpaceX is rumored to be interested in, offer unprecedented performance for these tasks. A $52 billion commitment would dwarf most corporate AI budgets and provide the compute muscle needed for frontier models. SpaceX already operates gigawatt-scale terrestrial clusters and has monetized them aggressively through leasing deals. Major customers include Anthropic, Google, and Reflection AI, generating tens of billions in annual revenue. Such an investment would fuel internal AI efforts, particularly Grok models under the integrated SpaceXAI division, while supporting ambitious orbital data center plans. SpaceX envisions launching thousands of AI-optimized satellites powered by solar energy and cooled in space, bypassing terrestrial power and land constraints. This "Starmind" constellation could position the company as a leader in space-based computing. SpaceX's trajectory is continuing on the path of blending aerospace engineering with hyperscale AI to dominate both launches and intelligence infrastructure. However, the deal may not be in the cards, but SpaceX's focus on AI is undeniable. In other news, SpaceX has updated its target for the thirteenth integrated flight test of Starship, aiming for as early as Thursday, July 23. The company has made several changes for this flight, addressing off-nominal flip and boostback burn problems from the prior flight. The FAA has completed its mishap investigation into Flight 12, clearing the regulatory path. Meanwhile, Elon Musk shed more details on the upcoming improvements to Tesla's Full Self-Driving suite, specifically one that the CEO mentioned last week, which should help owners see fewer interventions. Musk hinted that one major improvement is the car's ability to remember individual preferences, such as parking and highway lane choices. Tesla is working towards eliminating any intervention related to preferences, which is a critical step towards unsupervised driving. These developments highlight SpaceX's and Tesla's ongoing evolution as emerging AI powerhouses, blending aerospace engineering with hyperscale AI to dominate both launches and intelligence infrastructure.
