Wafer

Wafer is an AI inference optimization platform that uses autonomous AI agents to profile, diagnose, and optimize inference across the entire stack. It delivers 1.5–5x faster inference on any hardware, enabling chip companies, cloud providers, and AI labs to run open models faster and cheaper. Wafer also offers Wafer Pass, a subscription service providing access to the fastest open-source LLMs for personal use and coding agents.

• AI-Optimized Inference: Wafer agents autonomously optimize kernels and model architectures to achieve up to 2.8x faster throughput than base SGLang on models like Qwen3.5-397B.
• Hardware-Agnostic Optimization: Supports NVIDIA, AMD, AWS, Google, Tenstorrent, and custom ASICs — a single agent optimizes across every hardware target.
• Wafer Pass Subscription: Access the fastest open-source LLMs (Qwen3.5-Turbo, GLM 5.1-Turbo, and more) through one subscription starting at $40/month with 1,000 requests every 5 hours.
• Coding Agent Integrations: Works out of the box with Claude Code, OpenClaw, Cline, Roo Code, Kilo Code, and OpenHands.
• Chip Company Solutions: Custom agents optimize kernels, enable new model architectures, and scale developer ecosystems for hardware vendors.
• Cloud Provider Solutions: Agents optimize every new model on your hardware so your inference is the fastest and cheapest possible when new models drop.
• AI Lab Solutions: End-to-end inference optimization across every deployment target for AI labs wanting their models to run as fast and cheap as possible everywhere.
• Intelligence Per Watt Mission: Wafer's core goal is to maximize intelligence per watt, closing the gap between current AI system performance and what is physically possible.