Wafer

Wafer describes an inference-serving platform that adapts to the behavior of a workload. Its public homepage focuses on improving the serving stack for performance, reliability and efficiency as inference continues.

Evaluate the workload-specific promise

The Wafer homepage says it learns how a workload behaves and optimizes serving over time. Its illustrative sequence shows an engine being tuned, kernels fused and traffic re-tuned. Those examples describe the product's approach; the displayed token rates are not a benchmark Franklin has reproduced.

A useful evaluation should use the model, request sizes and traffic pattern your application expects. Compare time to the first useful response with sustained throughput, rather than selecting a provider on one token-rate figure. Keep the input and output settings consistent so a speed difference is not caused by a shorter answer or a different task.

Treat testimonials as customer accounts

The page includes testimonials about low latency at higher request volumes and a case claim involving faster Kimi inference on AMD hardware. These are vendor-published accounts, not a promise that another model or deployment will achieve the same result.

Ask for the conditions behind any performance comparison: hardware, model configuration, concurrency and the baseline used. Check output quality alongside speed with examples representative of your application. A statement that a customer avoided an accuracy trade-off does not establish identical behavior for every workload or a guarantee for your own inputs.

Confirm operational and commercial requirements

Wafer provides actions to start building or open its app, as well as navigation for cases and a dedicated offering. The homepage does not list a complete price schedule, retention policy or service-level agreement. Obtain those details before sending private production traffic or making the platform a critical dependency.

Start with a bounded, non-sensitive evaluation and inspect error handling under the conditions you expect to run. Confirm which models and regions the account supports, how usage is metered and what a dedicated arrangement includes. The decision should rest on the actual configuration and contract you can use, with the homepage's performance claims serving as questions to test rather than assumed outcomes.