wafer
Optimizes language model inference serving for lower latency and higher throughput.
≈ 224visits/mo
Established · estimate, read 2026-09-19
- For
- Teams deploying large language models needing optimized inference performance
- Price
- Price not read
- Activity
- Actively maintainednothing dated on the site
- Company
- founding year not on record
- Runs as
- API
- reduce latency for LLM inference requests
- continuously optimize serving stack for efficiency
- handle increased request volume without performance degradation
- #1
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What is wafer?
Optimizes language model inference serving for lower latency and higher throughput.
Who is wafer for?
Teams deploying large language models needing optimized inference performance
Do people use wafer?
Established: ≈ 224 visits a month · estimate, 2026-09.
Is wafer still maintained?
Actively maintained.
How we read a tool
No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.
- Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
- Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
- Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
- The line and the use cases are written by us from the homepage, one row at a time, and refused when they repeat the vendor's marketing.
How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.