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TikTok U.S. hunts for multiple gigawatts of computing capacity, sources tell CNBC

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Original Story by CNBC
October 23, 2026
TikTok U.S. hunts for multiple gigawatts of computing capacity, sources tell CNBC

Context:

TikTok U.S. is pursuing a multi-gigawatt compute capacity target by the early 2030s to support AI workloads, signaling a bold push to secure substantial digital infrastructure amid a global arms race for AI-ready hardware. The effort centers on the TikTok U.S.DS Joint Venture, with Oracle Cloud Infrastructure as the primary provider and a leadership structure that includes notable investors. The move aligns with ongoing retraining of the platform’s recommendation algorithm on U.S. user data and signals potential expansion in machine-learning initiatives, including a flagship B2B AI product. The arrangement reflects regulatory and geopolitical constraints shaping where and how data and compute are sourced, while signaling forward momentum in building out in-house, U.S.-based processing capabilities. Looking ahead, the venture faces reliance on partner capacity, regulatory framing, and the need to scale AI infrastructure to fuel new product plans.

Dive Deeper:

  • TikTok U.S.DS Joint Venture, established in 2026 to comply with a U.S. divestiture order, is evaluating large-scale compute capacity over the coming years.

  • Oracle Cloud Infrastructure is identified as the primary cloud provider, with Oracle typically operating facilities through leased data-center arrangements.

  • Several executives and insiders indicate the target capacity is measured in multiple gigawatts, intended to support intensified AI workloads and large-model inference.

  • TikTok has publicly signaled plans to retrain and update its recommendation algorithm on U.S. user data, with the algorithm's security anchored in Oracle’s U.S. cloud environment.

  • The investor roster includes Silver Lake, MGX, and the Dell Family Office, each holding stakes, while ByteDance retains a minority position in the JV.

  • The company is advertising machine-learning roles and a flagship B2B AI product focused on creative automation, underscoring ongoing product expansion tied to AI capabilities.

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