Overview
- Build large-scale AI models without hitting token caps, using an OpenAI-compatible API with no token limit
- Run open models that demand high-grade hardware without buying GPUs, through a shared cluster of powerful GPU resources
- Keep prompts and model responses completely private, backed by a strict no-logging policy and EU-based, no-data-storage operation
- Access a personal API key compatible with OpenAI, so existing OpenAI workflows plug directly into open models
- Develop substantial AI projects on infrastructure sized for serious workloads, with membership tiers from NaN_community at 14,99€/month to GLM 5.2 premium at 200€/month
- Collaborate with committed AI builders in private Discord channels, sharing projects and joining events, workshops, and hackathons
- Shape the platform's direction with a voice in the quarterly model vote and reserved inference queue spots
- Secure a spot in a capacity-managed community, with waitlist access when GPU-aligned membership fills up
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
- 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
- Requires commitment to building
- Sharing of GPUs
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❓ Frequently Asked Questions
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
For builders running open models that require high-grade hardware, NaN offers an ideal platform. By sharing powerful GPUs among builders who actively use them, NaN allows developers to run their AI models without needing to accommodate the hardware requirements typically attached to such tasks. This opens up opportunities for more extensive AI development without the challenge of hardware limitations.
NaN operates a waitlist system because it is a closed community that limits the number of users to align with the capacity of shared GPUs. When the spots are filled up, new members can join a waitlist. As the capacity opens up, individuals on the waitlist are invited to join as members, ensuring a steady flow and optimal use of resources.
NaN's premium membership option, GLM 5.2, which costs 200€ per month, provides access to advanced open models and high token allowances. Along with these, subscribers get access to the advantages offered to lower tiers, including a personal API key compatible with OpenAI, access to private Discord channels for members only, participation in events, workshops, and hackathons, and a voice in the quarterly model vote.
NaN ensures user data security operating based on the European Union's legislations and guidelines for data protection and privacy. Furthermore, NaN does not store any user data by design, significantly reducing the risk of data breaches.
No, NaN does not store user data. By design and policy, NaN maintains a strict no-logging policy for prompts and model responses, thereby ensuring comprehensive privacy and security for its users.
The NaN premium membership tier, GLM 5.2, offers advanced open models to its customers. However, there are no specific models mentioned beyond the mention of 'frontier open model with reasoning.' Presumably, these advanced models make use of the added resources afforded by the premium tier, enabling deeper, more complex development.
The no token limit feature of NaN essentially means unlimited usage of resources for your AI models. You can build, tweak, and run your models as much as you need without the worry of exhausting your token limit. This feature offers greater flexibility, permitting unrestricted exploration and experimentation which is integral for AI development.
NaN implements a stringent no-logging policy on prompts and model responses. This means that none of the interactions between the user and the system are logged or stored, ensuring complete privacy for user queries and responses of the AI models.
Pricing
Pricing model
Paid
Paid options from
$17.40/month
Billing frequency
Monthly
