AI Infrastructure & MLOps Paid

Wafer

AI performance engineering and flat-rate optimized open-source model inference

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PricingPaid
Starting price$10/week
Free planNo
Free trialYes
APIYes
Open sourceNo
DeploymentCloud
Last verifiedJuly 30, 2026
Overview

Tool overview

Wafer is listed under AI Infrastructure & MLOps AI tools.

Summary

What is Wafer?

Wafer builds autonomous performance engineers that optimize GPU kernels and serving stacks for AI inference. Wafer Pass exposes the resulting fast open-source models through one API key for coding agents and other inference workloads.

Best fit

Best for

AI developers needing faster open-source inference for agents and applications

Audience

Who is it for?

AI infrastructure teamsCoding-agent developersMachine learning engineersGPU performance engineersDeveloper-tool companies
Recommendation

Decision note

Suitable for evaluation after confirming final commercial terms, permissions, data handling, lifecycle status, and edit-screen aliases. Keep Needs Review enabled until a human verifies the published profile.

Capabilities

Key features

Autonomous optimization of GPU kernels and inference stacks

Serverless and dedicated model inference

Flat-rate Wafer Pass for all hosted models

One API key across supported coding-agent tools

Zero-data-retention option on Privacy plan

Optimized Qwen, GLM, and DeepSeek model variants

Workflows

Use cases

Accelerating open-source LLM inference

Reducing GPU infrastructure cost

Providing a model layer for coding agents

Optimizing PyTorch and CUDA workloads

Deploying dedicated high-throughput inference

Strengths

Pros

  • Public $10 weekly entry plan
  • One subscription includes every hosted model
  • Direct support for several coding-agent harnesses
  • Autonomous optimization addresses the serving stack
Considerations

Cons

  • Wafer Pass uses request-window limits
  • No ongoing free tier is documented
  • Model catalog and limits may change quickly
Considerations

Limitations

Performance gains depend on model, workload, hardware, and benchmarks. Developers should verify output quality, throughput, latency, privacy settings, request limits, and cost before production migration.

Cost

Pricing details

Pricing modelPaid
Starting price$10/week
Free planNo
Free trialYes
Pricing context

Billing options

Weekly subscriptionMonthly subscriptionYearly subscription
Pricing context

Pricing note

Wafer Pass Starter is $10 per week with 1,000 requests every five hours. Privacy is $25 per week with 2,000 requests every five hours and zero data retention. Terms also permit weekly, monthly, or yearly billing intervals.

View official pricing
Compatibility

Supported languages

  • Python
  • C++
  • CUDA
  • TypeScript
Connectivity

Integrations

Claude Code

OpenClaw

Cline

Kilo Code

Roo Code

OpenHands

Conductor

Specs

Technical details

PlatformsAPI, Web
Multilingual supportYes
Login requiredYes
Open sourceNo
DeploymentCloud
CompanyWafer, Inc.
Launch year2025
Models / versionsQwen3.5-397B-Turbo GLM5.1-Turbo DeepSeek-V4-Pro
Editions / plansWafer Pass Starter Wafer Pass Privacy Dedicated inference
Data confidenceHigh
Last verifiedJuly 30, 2026
Documentation → Data source →
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Answers

Frequently asked questions

Wafer builds autonomous performance engineers that optimize GPU kernels and serving stacks for AI inference. Wafer Pass exposes the resulting fast open-source models through one API key for coding agents and other inference workloads.
AI developers needing faster open-source inference for agents and applications
The listed pricing model for Wafer is Paid. Pricing can change, so users should verify the latest plan details on the official website.
Yes. The current profile indicates that a free trial is available.
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