# How Miris uses CoreWeave

**1B+**: “1B+ Simultaneous viewers”

As published on [wf.coreweave.com](https://wf.coreweave.com/resources/case-studies/miris-streams-photorealistic-3d-in-real-time), October 2026. Captured by usedby on 2026-10-07.

- Company: [Miris](https://www.usedby.ai/companies/miris.md)
- Tool: [CoreWeave](https://www.usedby.ai/tools/coreweave.md)

## What the story says

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.

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

- **\<200ms**: “\<200ms avg. time to first read”
- **~10x**: “~10x More efficient”

## What usedby checked

We compared the story with its live page on 2026-10-07.

- Checked: the figure 1B+ is printed word for word on the page, near the name of Miris.
- Checked: the passage quoted above is copied word for word from the page, near the name of Miris.
- Checked: each number in our summary is printed on the page.
- Checked: the publication date is read from the page’s own metadata, never guessed.
- Checked: Miris uses CoreWeave. Confirmed line. Latest check across sources: 2026-10-07.
- Not checked: the result itself. We quote it; we did not measure it.

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Source: https://www.usedby.ai/case-studies/miris-coreweave · How we check: https://www.usedby.ai/methodology