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Meta's Muse Reaches 10 Million U.S. Downloads in 40 Days, Joining an Elite Club of Apps

Meta's new AI companion Muse hit 10.9 million global downloads in its first 40 days, with 10.2 million in the U.S., outperforming rivals in retention and ad spend. The surge signals growing demand for inference‑heavy AI services that GPU clouds must support.

Meta Muse app icon displayed on a smartphone screen

Meta's AI companion Muse has become only the twelfth mobile application ever to surpass 10 million U.S. downloads within its first 40 days, according to Sensor Tower data released this week. The app recorded 10.9 million total installs, 10.2 million of which originated in the United States.

The rapid ascent is fueled by Meta's massive distribution network — 3.6 billion daily active users across Facebook, Instagram, and WhatsApp — and a sharply increased advertising push. In October, Meta allocated 39 percent of its total ad budget to Muse, up from 23 percent in September, propelling the brand to the 21st spot in U.S. advertising impressions.

Retention figures further differentiate Muse from peers such as ChatGPT, Claude, and Grok. The app posted a 30 percent 7‑day retention rate and a 23 percent 14‑day rate, compared with an average 19 percent and 16 percent for its competitors. Daily active users crossed 2.5 million on 16 October, a 15 percent week‑over‑week gain.

Why it matters for GPU / AI infrastructure

Each new user session drives inference workloads that run on GPU‑accelerated servers. A 10‑million‑user base generating sustained daily activity translates into a sizable, predictable demand for high‑throughput compute — exactly the capacity that scalable GPU clouds like AiGpu are built to deliver. As consumer‑grade AI agents proliferate, infrastructure providers must plan for bursty, low‑latency inference at massive scale.

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By AiGpu Editorial · Editorial rewrite based on public reporting (TechCrunch AI)

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