What Wafer does
Wafer is an inference platform for open-source large language models, providing fast serverless and dedicated AI inference as an alternative to proprietary AI services. It is built to run open models efficiently for production workloads.
Key capabilities
Wafer Serverless offers pay-as-you-go API access to a range of open models, and the company publishes throughput benchmarks positioning it against providers like Together.ai. Wafer Dedicated provides custom infrastructure for mission-critical workloads. The platform is OpenAI-API compatible, so it can serve as a drop-in replacement with existing SDKs and frameworks, and offers prompt-cache pricing that significantly reduces the cost of repeated prompt prefixes. It includes compliance features such as zero data retention options, data processing agreements and SLA-backed uptime, with model- and hardware-specific optimization across AMD and NVIDIA GPUs.
Who it's for
Wafer targets developers and enterprises running open-source LLMs in production who need low latency, high throughput, cost efficiency and compliance, including for use cases like voice agents and batch processing.