Wafer

Optimizes and hosts open-source LLMs for the fastest and cheapest AI inference available.

Verified API available
Quick facts
What is it Optimizes and hosts open-source LLMs for the fastest and cheapest AI inference available.
Pricing Unknown
Platform Web Application
API Yes
Best for Running high-throughput inference for open-source models, Optimizing custom model deployment for production
Domain registered 2022

Data updated Aug. 1, 2026

What does Wafer do?

Wafer is a platform designed to run open-source large language models (LLMs) as fast and cheaply as possible. It acts as a hosted service where developers and companies can access a variety of models. The core idea is that Wafer uses autonomous AI agents to continuously analyze and improve the inference process—the part where the model generates text. This optimization happens across the software and hardware stack, aiming to squeeze out maximum performance from the underlying infrastructure.

What sets Wafer apart is its focus on systemic optimization rather than just providing API access. The company claims its technology can deliver inference speeds up to 2.8 times faster than standard systems. Users interact with it primarily through 'Wafer Pass,' a subscription service with tiers for different needs, from individual developers to teams requiring zero data retention for privacy. For larger enterprises, Wafer offers custom optimization services, promising to tailor inference for specific hardware and workloads within a day.

This tool is built for technical users who need reliable, high-performance LLM inference without managing the complex backend themselves. It's useful for startups prototyping AI features, developers who want to test different open-source models quickly, and larger organizations that need to deploy custom models into production with optimized speed and cost. If your project depends on fast, affordable model responses and you'd rather not build the optimization engine yourself, Wafer aims to handle that heavy lifting.

#ai api#enterprise ai#llm inference#model-hosting#open-source models#performance optimization

Key features

What makes it stand out
01
Autonomous agents profile and optimize inference across the entire stack
02
Hosts multiple open-source models accessible through a single service
03
Offers a paid 'Wafer Pass' with tiered request limits and privacy options
04
Provides enterprise-grade inference optimization for custom models
05
Claims performance up to 2.8x faster than base inference systems

Who is Wafer for?

Who benefits most from this tool
Running high-throughput inference for open-source models
Optimizing custom model deployment for production
Reducing AI inference costs and latency

Trust & presence

Domain Domain registered 2022

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