DEV INFRASTRUCTURE / APIS · NICHE

wafer

Continual inference: the fastest inference for open models, continuously optimised to your workload.

What wafer does

Continual inference: the fastest inference for open models, continuously optimised to your workload. Inference provider that learns workload behaviour and keeps tuning the serving stack (kernels, traffic). Bio says trusted by Vercel, Tavus, Brilliant, YC and 1,500+ others. Raised a $40M Series A.

Good for

Fast, cheap open-model inference for production apps

Try this in 10 minutes

Fast, cheap open-model inference for production apps. Pick one real example from your own business and try just that.
Create a free account and run the hello-world example from the docs.
Price one real workload (e.g. 1,000 requests a month) with its pricing calculator.

Mini-tasks based on common small-business uses for this tool.

Honest take

No red flags in our notes so far

Only relevant for high-volume technical clients.

Pricing

Pay-as-you-go (prepaid credits) serverless API, per-token list prices e.g. DeepSeek-V4-Flash $0.14 input / $0.28 output per M tokens up to Kimi-K3 $3.00 / $15.00; dedicated continual-inference deployments: no public pricing.

Prices as listed by the maker when we last checked (2026-10-20); usually in US dollars. Check the website for current prices.

Latest update

No major updates recorded since we added it.

Is wafer worth it? Quick answers

Is wafer worth it?

wafer is a niche pick: useful for specific cases, but most small businesses can skip it for now. Only relevant for high-volume technical clients. It is a paid tool, so test it on one real task before committing.

How much does wafer cost?

What is wafer used for?

Continual inference: the fastest inference for open models, continuously optimised to your workload. Typical uses: fast, cheap open-model inference for production apps.