Stock Markets March 18, 2026

Musk: SpaceX and Tesla Will Keep Buying Nvidia Chips as Tesla Advances Its Own AI Silicon

Elon Musk praises Nvidia while confirming continued large-scale chip orders and updates progress on Tesla's in-house AI5 processor

By Jordan Park TSLA NVDA
Musk: SpaceX and Tesla Will Keep Buying Nvidia Chips as Tesla Advances Its Own AI Silicon
TSLA NVDA

Elon Musk said on Wednesday evening that both SpaceX and Tesla will continue to purchase NVIDIA chips at scale, even as Tesla advances development of its own next-generation AI processor, AI5. Musk also expressed admiration for Nvidia and its CEO, and provided updates on multiple chip-related initiatives across his companies.

Key Points

  • SpaceX and Tesla will continue ordering Nvidia chips at scale, according to Elon Musk - impacts semiconductors and cloud/AI infrastructure sectors.
  • Tesla is developing its AI5 in-house chip, optimized for Optimus humanoid robot and robotaxi use cases - relevant to automotive, robotics, and chip manufacturing markets.
  • xAI trained its Grok AI on Nvidia chips and runs the Colossus computing complex in Memphis on Nvidia H and Blackwell processors - relevant to AI compute and data-center operations.

Elon Musk said on Wednesday evening that SpaceX and Tesla will maintain large-scale purchases of NVIDIA Corporation chips while Tesla simultaneously pushes ahead with its own next-generation AI chip program.

In a post on the social network X, Musk described himself as a "huge admirer" of Nvidia and its chief executive, Jensen Huang. He confirmed that both SpaceX and Tesla will keep ordering Nvidia chips at scale.

Musk provided an update on Tesla's AI5, the automaker's in-house AI processor that remains under development. He said AI5 will perform "far above its weight" relative to expectations and that the architecture is primarily tuned for Tesla's Optimus humanoid robot and the robotaxi project. Musk had previously said the AI5 design was nearing completion, though outside reports indicate volume production has slipped to mid-2027.

Related to Tesla's broader chip ambitions, Musk referenced Terafab, a project intended to build AI chips. Musk said last week that Terafab is scheduled to launch on March 21. Separately, Tesla signed a $16.5 billion agreement with Samsung in mid-2025 tied to construction of its own AI chips, reflecting the company's push to integrate custom silicon.

At the same time Tesla continues to rely on Nvidia technology for AI workloads. The company previously dismantled its Dojo computing complex last year and has used Nvidia chips to meet AI requirements. Musk has repeatedly framed custom AI and robotics as critical growth avenues for Tesla amid two consecutive years of declining EV sales, positioning proprietary processors as strategic for Optimus and robotaxi ambitions.

Musk also touched on chip use across his other ventures. xAI - the AI startup recently merged into SpaceX - trained its flagship Grok model using Nvidia chips. The Colossus computing facility in Memphis that supports xAI primarily runs on Nvidia's H and Blackwell families of processors.

SpaceX itself said it plans to build AI data centers in space, and the company is preparing for a substantial public offering this year. Despite those plans and Tesla's own chip program, Musk reiterated that Nvidia hardware will continue to be procured at scale by both companies.


These comments underline an ongoing dual approach: continued reliance on established GPU suppliers for existing compute needs, paired with a strategic investment in bespoke silicon aimed at specific robotics and autonomy applications.

Risks

  • Volume production of Tesla's AI5 has reportedly been delayed to mid-2027, creating execution timing risk for Tesla's chip strategy - impacts semiconductor suppliers and automotive suppliers.
  • Tesla's move to build custom AI chips while still purchasing Nvidia processors creates strategic uncertainty around future vendor demand - affects Nvidia and chip manufacturing demand forecasts.
  • Tesla has dismantled its Dojo computing complex and is pursuing multiple in-house initiatives, which introduces operational and capital allocation risks for the company - impacts capital markets and technology investment assessments.

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