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NaN

Paid

NaN is a paid OpenAI-compatible API for builders to run open models on shared GPUs.

87 visitors 2 days ago

Frustration: developers want to run open AI models but GPUs, infra, and cost are blockers. NaN provides a shared GPU inference platform with an OpenAI-compatible API, zero prompt logging, and EU-based processing to simplify experimentation and production.

Stop Wasting Time on GPU Management

With NaN, you access a private community, a robust API, and ready access to language, embeddings, reranking, TTS, and STT modelsโ€”so you can ship faster.

Your 'Aha' Moment: Private, Scalable AI without Infra Hassles

Prototype, build RAG apps, and deploy AI-powered side projects on a managed cluster. Connect via the API base URL and see instant results, freeing time for iteration.

Verification Options:

1.

Email Verification: Verify ownership through your domain email.

2.

File Verification: Place our file in your server.

After verification, you'll have access to manage your AI tool's information (pending approval).

No trial or guarantee available

Quick verdict

Based on 2 reviews

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Pros

  • Zero prompt logging protects client data and boosts compliance confidence
  • EU-based processing keeps data residency aligned with contracts
  • OpenAI-compatible API lets me drop in models without relearning SDKs

Cons

  • Latency spikes during peak hours due to shared GPUs slow my iterations
  • Pricing for short pilots is awkward; Iโ€™d prefer per-project or flexible tiers
  • Docs miss a few edge-case flows when chaining open-model calls

Customer Reviews for NaN

Overall Analytics

Comprehensive review insights and historical performance

Mostly Positive (2) 4.0/5 2 reviews 100% recommend โ€” Monthly growth

6-month timeline

Most helpful

Fatima Al-Sayed
Fatima Al-Sayed 0

I juggle client projects with strict data handling, so zero prompt logging and EU residency are game changers. I prototype OpenAI-style flows using the API on shared GPUs without fearing data leaks. It slots into my stack in hours, and the private Discord is a lifeline for tricky edge cases.

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Recent Review Statistics

Sentiment analysis and trends from the last Last 30 days

4.0/5
2 reviews
Mostly Positive (2) New reviews
Trend: Steady Velocity: 0.1/day Engagement: 0%
Velocity utilization 14%
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Showing 1 - 2 of 2 reviews .

User avatar for Fatima Al-Sayed

Fatima Al-Sayed

Trusted Reviewer Verified purchase
4.0
Recommends

Privacy-first GPU access speeds up multi-client prototyping

Used for week to month

What I liked

  • Zero prompt logging protects client data and boosts compliance confidence
  • EU-based processing keeps data residency aligned with contracts
  • OpenAI-compatible API lets me drop in models without relearning SDKs
  • Private Discord community gives direct access to experts when I hit a wall

What could be better

  • Latency spikes during peak hours due to shared GPUs slow my iterations
  • Pricing for short pilots is awkward; Iโ€™d prefer per-project or flexible tiers
  • Docs miss a few edge-case flows when chaining open-model calls
  • Iโ€™d love more transparent SLAs on GPU availability, since timing matters

I juggle client projects with strict data handling, so zero prompt logging and EU residency are game changers. I prototype OpenAI-style flows using the API on shared GPUs without fearing data leaks. It slots into my stack in hours, and the private Discord is a lifeline for tricky edge cases.

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User avatar for Charlotte Taylor

Charlotte Taylor

Trusted Reviewer Verified purchase
4.0
Recommends

Private expert access and OpenAI-style API accelerate our prototyping

Used for 1-3 months

What I liked

  • Private Discord community provides fast, direct expert help when experiments stall
  • OpenAI-compatible API lets me reuse existing code and go to production quickly
  • EU-based processing simplifies regulatory compliance for our users
  • Zero prompt logging strengthens privacy in production deployments

What could be better

  • Latency spikes when GPUs are busy during peak times slow iterations
  • Pricing for the GLM 5.2 premium is noticeable for ongoing work
  • Some embedding and reranking docs assume a simpler pipeline, leaving gaps for edge cases
  • Response times from the private channel can vary on weekends

Iโ€™m a founder building a voice-enabled RAG app, and the OpenAI-compatible API helps me ship features in days, not weeks. The private Discord gives me direct access to specialists, which cuts debugging time dramatically. EU processing fits our compliance needs, and zero prompt logging keeps user data private.

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How it works

How NaN Works In 3 Steps?

  1. Step 1

    1. Join NaN waitlist

    Get access to the shared GPU cluster and an OpenAI-compatible API.

  2. Step 2

    2. Subscribe & get API key

    Choose a plan and receive your personal OpenAI-compatible API key.

  3. Step 3

    3. Deploy models

    Point your app to NaN's API base URL to run language, embeddings, TTS, and STT.

Direct Comparison

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NaN VS FlexAI

NaN: Features, Advantages & FAQs

Explore everything you need to know about NaN

Core Features
  • Shared GPU inference: Run open models without managing infrastructure
  • OpenAI-compatible API: Easy integration with your apps
  • Zero prompt logging: Improved privacy
  • EU-based processing: Data residency and compliance
  • Private Discord community: Direct access to experts
  • GLM 5.2 premium: Access advanced models and higher token allowances
Advantages
  • Saves hours by removing GPU setup
  • Reduces infrastructure costs
  • Private Discord community for collaboration
  • Zero logging for privacy
  • EU-based data processing
  • Access to GLM 5.2 premium
Use Cases
  • Run AI coding agents and autonomous workflows using open models
  • Build production applications without operating GPU infrastructure
  • Create RAG applications with embedding and reranking models
  • Add speech recognition or text-to-speech to applications
  • Prototype and deploy AI-powered side projects
  • Experiment with large open models through an OpenAI-compatible API
Best For
  • AI Developers, ML Engineers, Data Scientists, Software Engineers, Startups, Researchers

Integrations

Works with the tools you already use

No direct integrations available
Best For

AI Developers, ML Engineers, Data Scientists, Software Engineers, Startups, Researchers

Skill Level
Beginner-Friendly

Frequently Asked Questions

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