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wafer

wafer

Wafer is the GPU dev stack that lives inside your IDE

Website wafer.ai
Overview

What it is

We're launching Wafer Pass, a monthly subscription that gives you access to the fastest LLMs for use in personal agentic coding harnesses like OpenClaw, Claude Code, OpenCode, Cline, Kilo Code, with no per-token charges for that model. The first LLM we're supporting is Qwen3.5-397B-A17B-Turbo, a version our team optimized from the original Qwen base model to 3x the speed as other inference providers. More Turbo models coming soon, included with all plans.

Intent

I need it when

Access multiple high-performance open-source LLMs through a unified API

Wafer provides a single API gateway to run GLM-5.1, Qwen 3.5/3.6, Kimi-K2.6, and other models, allowing users to experiment with and deploy different models without managing separate infrastructure or integrations.

Reduce inference costs while maintaining model quality and speed

Wafer's pay-as-you-go token pricing with no minimums or commitments allows users to scale inference spending elastically; per-model rates range from $0.19–$4.80 per million tokens, and performance optimization reduces token consumption needed to achieve target outputs.

Optimize GPU inference stack across kernels, models, and production pipelines

Wafer's autonomous AI agents profile, diagnose, and optimize the entire inference stack; enterprise customers receive tailored optimization for custom models, hardware, and workloads within 24 hours, eliminating manual performance tuning.

Run open-source LLMs at the lowest latency and highest throughput possible

Wafer provides serverless access to optimized open-source models (GLM, Qwen, Kimi) with autonomous GPU inference optimization that achieves 2.8x faster throughput than base implementations, enabling users to ship production AI applications with minimal inference costs and maximum performance.

Drop

Not a fit when

  • User requires on-premise or fully self-hosted inference with no cloud dependency
  • User needs support for proprietary or closed-source models not listed in Wafer's model catalog
  • User has extremely low inference volume and cannot justify per-token billing model
  • User requires guaranteed SLA commitments or dedicated infrastructure without enterprise contract
  • User needs real-time inference optimization for custom-built models without 24-hour setup window
Commercials

Pricing

Pay-as-you-go token-based pricing for serverless inference; per-model rates for input and output tokens. Enterprise custom optimization available. View pricing