Wafer AI
PaidExplore Wafer AI’s features, pricing, and performance. Discover how this AI automation platform helps developers build and scale agents efficiently.
About Wafer AI
Wafer is an enterprise-focused LLM inference platform that provides serverless and dedicated endpoints for a curated selection of open-source models. Based on available information, the platform is designed to offer high-speed inference for AI agents, copilants, and production workloads through custom optimization on GPU kernels. It supports models such as GLM-5.1, Kimi-K2.6, and Qwen 3.5, with public benchmarks indicating top output speeds among API providers. The service includes pay-as-you-go serverless access for easy experimentation and dedicated endpoints for sensitive or mission-critical tasks, with features like traffic isolation and zero data retention options. Wafer appears to be a product of Evergrove Labs, though this should be verified. The platform is positioned for developers and enterprises that need fast, reliable LLM inference without managing infrastructure. It does not appear to offer image, video, or audio processing; its focus is text-based large language models for reasoning, coding, and instruction following.
Key Features
Pros & Cons
- Fastest inference speeds among benchmarked providers for supported models
- Serverless option reduces infrastructure overhead
- Dedicated endpoints provide isolation and reliability for sensitive workloads
- Pay-as-you-go pricing avoids upfront commitment
- Supports a range of powerful open-source LLMs with strong reasoning and coding abilities
- No free tier mentioned; service appears to be paid only
- Pricing per token may become costly for high-volume usage
- Only supports text-based LLMs; no image, video, or audio processing
- Requires API integration and technical setup
- Custom model support may be limited to dedicated endpoint customers
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