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AI inference 2026 Rank: #2973

NaN Builders ✓

Shared GPUs for builders who never want to run out of tokens.

128 views 2 saves Paid
API AI Model Building Data Privacy
More categories (4)
GPU Resources No Logging Policy User Data Security AI inference
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from $17.4/mo

Verdict

A quick read before you dig into the full page.

Best if
Shared GPUs for builders who never want to run out of tokens
Skip if
Limited model selection
Pick this when
Powerful GPU resources

Considering Nebius Token Factory instead? Compare side by side

Overview

NaN is a dedicated community of builders creating and sharing AI open models with powerful GPU resources. The tool provides an OpenAI-compatible API platform for building AI models without any token limit, offering more flexibility compared to closed-model APIs.

NaN is mainly used to run open models that require high-grade hardware, which enables users to build substantial AI projects. The platform operates in a closed community model and limits the number of spots to align with the capacity of shared GPUs.

When the spots fill up, new members can join a waitlist. Despite being a closed community by design, the NaN platform fosters a deep sense of community among its users through Discord.

Each member pays a fee to use the platform, signalling a commitment to serious AI development. NaN hosts a variety of projects built by its members, showcasing the spectrum of possibilities when builders leverage advanced hardware resources.

Furthermore, NaN prides itself on maintaining a high level of data privacy, with a strict no-logging policy for prompts and model responses. The tool's operation is based in the European Union and does not store any user data by design.

NaN offers different membership tiers including premium options that offer added features like advanced open models and personal API keys compatible with OpenAI.

These tiers suit different profiles of users in terms of their needs and their contribution to the community.

NaN Builders website

Access & connections

Where you can use NaN Builders, and what it plugs into.

Platforms

Web

Integrations

Discord

API

Public API available

Auth: API key

Browse other tools with an API

Capabilities

What this tool accepts, produces, and is strongest at.

Input

  • API

Output

  • API

Pros & cons

Pros

  • Powerful GPU resources
  • No token limit
  • Run high-grade hardware models
  • Closed community model
  • Waitlist system for full capacity
  • Community fostered through Discord
  • Various membership tiers
  • High level of data privacy
Show 38 more
  • No-logging policy
  • Operates in the European Union
  • Doesn't store user data
  • Advanced open models for premium users
  • Shared GPUs for limitless tokens
  • Strict prompt and model response privacy
  • Community-based project showcasing
  • Different user profiles catered to
  • Offers a variety of open models
  • GPU resources shared among users
  • Retains no user logs
  • Privacy ensured in the EU
  • Cluster maintenance metrics only
  • Split-cost of infestructure
  • High-speed GPU optimization
  • Finely-tuned membership prices
  • Private Discord channels for members
  • Quarterly community model vote
  • Events, workshops and hackathons for members
  • No commitment subscription
  • Flat rate for running open models
  • Processing in the European Union
  • High-speed model running
  • Zero logs policy
  • Pure inference infrastructure
  • Personal agent session securities
  • Data never leaves user session
  • Shared inference cluster access
  • Live discussions and AMAs for members
  • Reserved spot in line for inference
  • Billing in euros from any region
  • Open-models community care
  • Prompts and responses not logged
  • Community-led by experienced builders
  • Dedicated GPUs for open models
  • Inference infrastructure for unlimited token plans
  • Best open-models community aspirations
  • Personal API key for inference cluster

Cons

  • Closed community model
  • Limited spots availability
  • Waitlist system
  • Membership fee required
  • Geolocation: based in EU
  • Limited model selection
  • No training option
  • Payment in Euros only
Show 2 more
  • Requires commitment to building
  • Sharing of GPUs

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Releases 1

Initial release August 20, 2026 Current
Initial release of NaN Builders.

FAQ 12

What is NaN and what does it do?
NaN is a community-conscious platform that allows AI builders to create, share, and run AI open models using robust GPU resources. It operates an OpenAI-compatible API for building AI models without any token limit, providing a higher level of flexibility compared to closed-model APIs. The purpose of NaN is to facilitate the serious development of AI models that necessitate high-level hardware infrastructure. It operates on a closed community model to align with the shared GPU capacity, maintaining a waitlist for new members when spots fill up. Moreover, NaN is dedicated to data privacy and user data security, operating in the European Union and adhering to a strict no-logging policy for prompts and model responses.
How is NaN compatible with OpenAI?
NaN supports an OpenAI-compatible API. This compatibility enables users to build AI models seamlessly using the NaN platform, leveraging the powerful and advanced OpenAI technology and infrastructure. As a result, builders can access a high-end system for running open models that would otherwise require substantial hardware resources.
What are the benefits of NaN's token limit feature?
The lack of token limit in NaN offers a significant degree of freedom for developers and AI builders. By removing the constraints of token limits, users can build larger, more complex, and robust models without worrying about exhausting their allocated resource pool. This feature promotes creativity, innovation, and extensive experimentation as builders can run and refine their models continuously.
How does NaN make use of high-grade hardware?
NaN is designed to handle open models that require significant hardware resources. Through a shared community model, it distributes powerful GPU resources among its members, who actively use them. The goal is to allow the building of substantial AI projects that would typically require advanced hardware that most users don't possess, ultimately facilitating more significant AI development.
What is the purpose of NaN's closed community model?
NaN operates on a closed community model primarily to ensure an optimal balance between the number of users and the capacity of shared GPU resources. By limiting membership on a resource-based scalability model, NaN can ensure consistent performance and accessibility for all users. Ultimately, this model promotes high-quality shared resources and a collaborative community.
How can I join NaN's waitlist and what happens next?
When the limited spots in NaN community fill up, new members can join a waitlist. After joining the waitlist, you await an open spot. And once a spot becomes available, you'll be invited to become a member of the NaN community and can then access its extensive AI model building resources.
How does NaN maintain a sense of community among its users?
Despite being a closed community by design, NaN sustains a strong sense of community among its users through a special Discord space. Among this community are individuals who have a serious commitment to AI development, signaled by the fee they pay to use the platform. Here, users can share their experiences, discuss their projects, and learn from each other, fostering a collaborative and supportive environment.
How does NaN ensure data privacy and security?
NaN puts a high level of emphasis on protecting data privacy and ensuring security. It adheres to a strict no-logging policy for prompts and model responses. Thus, no data regarding user interaction with the models is stored or monitored. Additionally, it operates within the European Union's regulations and guidelines for data protection and privacy. By design, NaN doesn't store any user data.
What kind of projects can be built using NaN?
A variety of projects can be developed using NaN due to its powerful resources and advanced technology. Examples from the platform include those that leverage advanced hardware to build complex AI models, and effectively run open models without hardware restrictions. Despite limited specific project details, the potential applications for projects built on NaN are extensively varied given its features, resources, and technologies.
What are NaN's different membership tiers and what do they offer?
NaN offers three membership tiers. The first tier, NaN member, is offered at 70€ per month. With this, you get access to the shared cluster, personal API key compatible with OpenAI, access to private Discord channels for members only, open models without token caps, among other features. The second membership type, the NaN_community, is offered at 14,99€ per month and includes Discord access, member-only channels, live discussions, reserved spot in line for inference, among others. The premium membership, GLM 5.2 premium, is offered to members when seats open and it costs 200€ per month, where members have access to everything in the NaN member tier plus GLM 5.2, the frontier open model with reasoning and a 3, 000M token allowance per billing period.
What does it mean for NaN to have personal API keys compatible with OpenAI?
NaN offering personal API keys compatible with OpenAI means that each member is provided a unique API key that they can use to access the OpenAI-compatible platform. This allows users to build and run AI models essentially as if they were using the OpenAI platform directly, allowing for a significantly integrated, seamless, and flexible development process.
What GPU resources does NaN provide for AI model building?
NaN provides a shared system of powerful GPUs which are crucial computing resources for running complex AI models. These resources are optimized for running open models, where the intense calculations necessary for these tasks are distributed across the GPUs. As a result, users can develop and run substantial AI projects using NaN's platform.
NaN Builders from $17.4/mo
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