---
description: Get detailed information about Wafer and how it can help you meet your business needs. Learn more about Wafer price, benefits, and disadvantages for businesses in Singapore.
image: https://gdm-localsites-assets-gfprod.imgix.net/images/capterra/og_logo-e5a8c001ed0bd1bb922639230fcea71a.png?auto=format%2Cenhance%2Ccompress
title: Wafer Pricing, Cost & Reviews - Capterra Singapore 2026
---

Breadcrumb: [Home](/) > [AI Coding Assistants](/directory/34828/ai-coding-assistants/software) > [Wafer](/software/1214134/Wafer)

# Wafer

Canonical: https://www.capterra.com.sg/software/1214134/Wafer

> Cloud-based LLM inference platform offering serverless and dedicated API access, with continuous optimization across GPU kernels.
> 
> Verdict: Rated \*\*\*\* by 0 users. Top-rated for **Overall Quality**.

-----

## Overview

### Who Uses Wafer?

Enterprise AI product and infrastructure teams in artificial intelligence, cloud computing, and GPU computing industries.

## About the vendor

- **Company**: Wafer
- **Location**: San Francisco, US

## Commercial Context

- **Target Audience**: Self Employed, 2–10, 11–50, 51–200, 201–500, 501–1,000, 1,001–5,000, 1,001–5,000, 1,001–5,000, 5,001–10,000, 5,001–10,000, 5,001–10,000, 10,000+, 10,000+, 10,000+
- **Available Countries**: United States

## Support Options

- Email/Help Desk

## Category

- [AI Coding Assistants](https://www.capterra.com.sg/directory/34828/ai-coding-assistants/software)

## Alternatives

1. [IntelliJ IDEA](https://www.capterra.com.sg/software/136010/intellij-idea) — 4.7/5 (1261 reviews)
2. [Replit](https://www.capterra.com.sg/software/1051536/replit) — 4.4/5 (159 reviews)
3. [Gemini](https://www.capterra.com.sg/software/1065607/gemini) — 4.6/5 (90 reviews)
4. [Claude](https://www.capterra.com.sg/software/1051542/claude) — 4.4/5 (58 reviews)
5. [GitHub Copilot](https://www.capterra.com.sg/software/1051539/copilot) — 4.5/5 (51 reviews)

## Links

- [View on Capterra](https://www.capterra.com.sg/software/1214134/Wafer)

## This page is available in the following languages

| Locale | URL |
| en | <https://www.capterra.com/p/10163596/Wafer/> |
| en-AE | <https://www.capterra.ae/software/1214134/Wafer> |
| en-AU | <https://www.capterra.com.au/software/1214134/Wafer> |
| en-CA | <https://www.capterra.ca/software/1214134/Wafer> |
| en-GB | <https://www.capterra.co.uk/software/1214134/Wafer> |
| en-IE | <https://www.capterra.ie/software/1214134/Wafer> |
| en-IL | <https://www.capterra.co.il/software/1214134/Wafer> |
| en-IN | <https://www.capterra.in/software/1214134/Wafer> |
| en-NZ | <https://www.capterra.co.nz/software/1214134/Wafer> |
| en-SG | <https://www.capterra.com.sg/software/1214134/Wafer> |
| en-ZA | <https://www.capterra.co.za/software/1214134/Wafer> |

-----

## Structured Data

<script type="application/ld+json">
  {"@context":"https://schema.org","@graph":[{"name":null,"address":{"@type":"PostalAddress","addressLocality":null,"addressRegion":null,"postalCode":null,"streetAddress":null},"description":"Capterra Singapore helps find the best business software. With software reviews, ratings, infographics, and the most comprehensive list of business software.","email":"info@capterra.com.sg","url":"https://www.capterra.com.sg/","logo":"https://dm-localsites-assets-prod.imgix.net/images/capterra/logo-a9b3b18653bd44e574e5108c22ab4d3c.svg","@id":"https://www.capterra.com.sg/#organization","@type":"Organization","parentOrganization":"G2.com, Inc.","sameAs":["https://twitter.com/capterra","https://www.facebook.com/Capterra/","https://www.linkedin.com/company/capterra","https://www.instagram.com/capterra/","https://www.youtube.com/user/CapterraTV"]},{"name":"Wafer","description":"Wafer is a cloud-based platform for running open large language models (LLMs) in production. It provides both a serverless pay-as-you-go API and dedicated endpoints for teams that need predictable uptime at scale.\n\nBusinesses use Wafer to serve AI models more efficiently without manually tuning infrastructure. The platform continuously profiles and adjusts the full serving stack, from GPU kernels to hardware, as traffic, models, and hardware change over time.\n\nCore features include OpenAI-compatible and Anthropic-compatible API endpoints, support for NVIDIA and AMD GPUs, auto-tuning of serving engines, custom kernel development tools, and WaferBench for benchmarking GPU kernels. A CLI and VS Code extension support kernel development workflows.\n\nWafer is best suited for enterprise AI engineering teams building voice agents, coding assistants, and interactive AI applications, as well as GPU infrastructure engineers running large-scale batch or parallel LLM workloads.","image":"https://images.g2crowd.com/display-layer-screenshots/1939591/b4572413b5461643c3516ee8fff72a22a742b0adcc2132ded5b6ecce909f769f.jpg","url":"https://www.capterra.com.sg/software/1214134/Wafer","@id":"https://www.capterra.com.sg/software/1214134/Wafer#software","@type":"SoftwareApplication","publisher":{"@id":"https://www.capterra.com.sg/#organization"},"applicationCategory":"BusinessApplication"},{"@id":"https://www.capterra.com.sg/software/1214134/Wafer#faqs","@type":"FAQPage","mainEntity":[{"name":"What Is Wafer?","@type":"Question","acceptedAnswer":{"text":"Wafer is a cloud-based platform for running open large language models (LLMs) in production. It provides both a serverless pay-as-you-go API and dedicated endpoints for teams that need predictable uptime at scale.Businesses use Wafer to serve AI models more efficiently without manually tuning infrastructure. The platform continuously profiles and adjusts the full serving stack, from GPU kernels to hardware, as traffic, models, and hardware change over time.Core features include OpenAI-compatible and Anthropic-compatible API endpoints, support for NVIDIA and AMD GPUs, auto-tuning of serving engines, custom kernel development tools, and WaferBench for benchmarking GPU kernels. A CLI and VS Code extension support kernel development workflows.Wafer is best suited for enterprise AI engineering teams building voice agents, coding assistants, and interactive AI applications, as well as GPU infrastructure engineers running large-scale batch or parallel LLM workloads.","@type":"Answer"}},{"name":"Who Uses Wafer?","@type":"Question","acceptedAnswer":{"text":"Enterprise AI product and infrastructure teams in artificial intelligence, cloud computing, and GPU computing industries.","@type":"Answer"}}]},{"@id":"https://www.capterra.com.sg/software/1214134/Wafer#breadcrumblist","@type":"BreadcrumbList","itemListElement":[{"name":"Home","position":1,"item":"/","@type":"ListItem"},{"name":"AI Coding Assistants","position":2,"item":"/directory/34828/ai-coding-assistants/software","@type":"ListItem"},{"name":"Wafer","position":3,"item":"/software/1214134/Wafer","@type":"ListItem"}]}]}
</script>
