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Wafer AI

Paid

Explore Wafer AI’s features, pricing, and performance. Discover how this AI automation platform helps developers build and scale agents efficiently.

Inputs: textOutputs: text
Type
Saas

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

Serverless inference for top open-source LLMs with pay-as-you-go pricing
Dedicated endpoints for sensitive workloads with low latency and high throughput
Workload-specific inference optimization using custom GPU kernels
Public benchmarks showing high output speeds (e.g., 288.5 t/s on Qwen 3.5 397B)
Support for state-of-the-art models like GLM-5.1, Kimi-K2.6, and Qwen 3.5
Zero data retention and SLA-backed uptime for enterprise deployments

Pros & Cons

Pros
  • 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
Cons
  • 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

Best For

Building and deploying AI agents in productionPowering intelligent copilots and interactive AI productsHigh-throughput batch processing of LLM inferencesReal-time voice agents requiring low latencyCoding agents and code generation workflows

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FAQ

How does Wafer achieve such high inference speeds?
Based on the product page, Wafer achieves high speeds through workload-specific inference optimization on custom GPU kernels, profiling each model on accelerator families, sharding experts to fit cache hierarchy, and tuning the continuous-batching scheduler. For example, on Qwen 3.5 397B-A17B, reported speeds are roughly 25% faster than the next-closest provider in public benchmarks.
Is Wafer secure for enterprise use with sensitive data?
Wafer offers dedicated endpoints that isolate traffic from shared inference pools, with zero data retention available for compliance-bound workloads. The platform signs DPAs, provides SLA-backed uptime, and claims to provision custom-tuned deployments in under 24 hours. Full terms should be verified on their SLA and DPA pages.
What models are available on Wafer?
The platform currently lists models such as GLM-5.1, Kimi-K2.6, and Qwen 3.5 397B-A17B, with pricing per million tokens for input, output, and cache. The model catalog may expand; availability should be checked on the Wafer website.
Can I use Wafer as a drop-in replacement for the OpenAI API?
The product page suggests compatibility with AI agents but does not provide explicit details on API compatibility. Users should review the API documentation to determine if it can serve as a drop-in replacement for OpenAI's API.
Is there a free trial or free tier available?
The available information does not mention a free tier. Pricing is paid and pay-as-you-go. Interested users should contact Wafer or check their pricing page for any starter credits or trial options.