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1B+

“1B+ Simultaneous viewers”

As published on wf.coreweave.com, October 2026. Captured by usedby on Oct 7, 2026.

What happened

Miris uses CoreWeave's cloud to process and optimize 3D assets once upstream on GPUs, then streams them in an adaptive volumetric format to end users, so it does not need a GPU for each user. The platform handles its asset pipelines using integrated storage and Kubernetes orchestration.

Summary written by usedby from the source page, in English. The figures are those of CoreWeave and Miris, not ours.

  • <200ms“<200ms avg. time to first read”
  • ~10x“~10x More efficient”

Instead of allocating GPUs per user, Miris processes 3D assets once upstream using CoreWeave infrastructure, dramatically improving scalability and efficiency.

From the page. wf.coreweave.com, captured Oct 7, 2026

What the story claims, and what we checked

We compared the story with its live page on Oct 7, 2026.

  • The figure: 1B+CheckedPrinted word for word on the page, near the name of Miris.
  • The passage quoted aboveCheckedCopied word for word from the page, near the name of Miris.
  • The numbers in our summaryCheckedEach one is printed on the page.
  • The publication dateCheckedRead from the page’s own metadata, never guessed.
  • Miris uses CoreWeaveCheckedConfirmed line. Latest check across sources: Oct 7, 2026.
  • The result itselfNot checkedWe quote it; we did not measure it.

Same company, same tool or same industry.

80%“Greater than 80% faster speed and enhanced performance results on NVIDIA GB200 NVL72”IBM uses CoreWeave. Another customer of CoreWeave2.5x“train models 2.5x faster than previously experienced on NVIDIA H200s”Mistral AI uses CoreWeave. Another customer of CoreWeave75%“saving 75% in cloud costs”NovelAI uses CoreWeave. Another customer of CoreWeave