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NaN

Shared GPUs. Open-source models. Closed community.

Builders sharing GPUs to run the latest open AI models without token limits.

Limited spots
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// what is nan

Builders sharing dedicated GPUs to run open models and burn tokens without limits.

Closed-model APIs are convenient but expensive and limited. Open models are free but running them seriously requires hardware almost no one has at home.

NaN solves this by sharing powerful GPUs among builders who actually use them, splitting the real cost of infrastructure.

A closed community by design, limited to the real capacity of shared GPUs. When it fills up, we open a waitlist.

The community lives on Discord. The website only manages access. Every member pays to be here. Only those who truly want to build make it in.

// community builds

We don't burn tokens. We build.

Real projects built by NaN members using the shared inference cluster. This is what happens when builders get serious hardware.

Opencode agent orchestration kit7

Opencode agent orchestration kit

by jcarlosrodicio

A starter kit for configuring OpenCode with a product-development agent orchestration flow, Open Design integration, optional Impeccable design context, Superpowers workflow discipline, local process skills, a TUI token-usage plugin, and optional AHE observability sidecars. This project is for developers who want a reproducible global OpenCode setup without hand-writing agents, commands, skills, tools, and Docker notes from scratch. This repository is not affiliated with OpenCode, Open Design,

agentstoolsmcp
Click to see full details →
openbide6

openbide

by rokkoo

OpenBide encapsula la lógica de redirección bajo un único identificador inteligente, asegurando que tu cliente final siempre tenga una fricción cero al abrir tu enlace. OpenBide encapsulates redirection logic under a single smart identifier, ensuring your end user always experiences zero friction when opening your link.

websitestoolsautomation
Click to see full details →
Beyond The Protocol3

Beyond The Protocol

by danitoszwarc

BeyondTheProtocol es una webapp médica privada construída para una paciente con cáncer metastásico ultra-raro. Problema que resuelve: gestionar cientos de documentos clínicos dispersos (PDFs, análisis, reportes) de forma inteligente. Centraliza todo en un sistema RAG bilingüe (ES/EN) con búsqueda semántica, dashboard longitudinal, y un wiki clínico compilado, permitiendo explorar el historial médico completo con contexto y continuidad.

websitesaidata
Click to see full details →

// inference cluster

Inference cluster

Shared inference cluster. Models chosen by the community every quarter.

// current models

deepseek-v4-flash

llm

LLM · 284B-21B MoE · FP8 · 1M context · Tool calling · Reasoning · 500M tokens/mes

mimo-v2.5

llm

Omnimodal · 310B-15B MoE · FP8 · 1M context · Vision · Audio · Tool calling · Reasoning · 500M tokens/mes

gemma4

llm

LLM · 26B-A4B MoE · FP8 · 256K context · Tool calling · Reasoning · Vision

qwen3.6

llm

LLM · 35B-A3B MoE · FP8 · 256K context · Tool calling · Reasoning

glm5.2

llm

LLM · ~753B MoE · FP8 · sparse attention · 256K context · Tool calling · Reasoning · coding agéntico

qwen3-embedding

embedding

Embeddings · 8B · 4096 dims · 100+ languages · MMTEB 70.58

rerank

rerank

Reranker · Qwen3-Reranker-8B · BF16 · 100+ languages · cross-lingual · completes RAG stack

kokoro

tts

TTS · 82M params · 67 voices · <1s latency · ef_dora · em_alex

whisper

stt

STT · large-v3 · CTranslate2 · ~3.2% WER Spanish · auto language detection

  • Your code doesn't train any models
  • Data in EU, no prompt logs
  • Unlimited tokens on cluster models
  • Personal API key for each member

// privacy

Pure inference. Zero logs.

NaN is inference infrastructure. There is no logging of prompts, model responses, nothing. Everything lives in your local session, on whatever client, agent, or custom app you use.

The API is pure inference. Nothing you do with it is logged except server-side metrics (tokens/s, RPM, etc.) for cluster maintenance and monitoring only.

Your code doesn't train any models. Your prompts aren't stored. Your data doesn't leave your session.

  • Zero logs: no prompt or response logging
  • Everything lives in your local client or agent session
  • Processing in the European Union
  • Your code doesn't train any models
  • Server metrics only for cluster maintenance (tokens/s, RPM)

// how models are chosen

Models chosen by the community. Refreshed every quarter.

  • Every 3 months, members vote on the new models that will run on the cluster.
  • Candidates are pre-selected technically: they must fit in the cluster capacity.
  • Voting happens on Discord, open to all members.
  • The open models ecosystem moves fast. So does NaN.

// who's behind

The NaN community is led by Cristian Córdova and Borja Perez.

The NaN community exists thanks to Helmcode, the company behind all the inference infrastructure that powers the community.

Cristian Córdova

Cristian Córdova

@barckcode

Tenerife, Islas Canarias

Founder of Helmcode, working with startups on cloud infrastructure, AI tooling and open source.

Thanks to Helmcode we offer open model inference with unlimited token plans for enterprises, I share my experiments on social media and AI research.

I started NaN because I wanted to run serious open models without usage limits, and share and learn with people in the same boat: builders who actually burn tokens.
Borja Perez

Borja Perez

@borjaperfra

Valencia, Spain

// pricing

One tier per region. No upsells. No trial.

NaN Member EU

🇪🇺
70€ /mo

VAT included

Limited spots

  • Access to shared cluster — open models with no token caps
  • DeepSeek V4-Flash (frontier 284B, 1M context, advanced reasoning) — 500M tokens/month
  • Open models chosen by the community
  • Personal API key compatible with OpenAI
  • Private Discord channels for members only
  • Voice in quarterly model voting
  • Month to month, no commitment
Join

Limited spots. When it fills up, waitlist.

NaN Member USA/Latam

🇺🇸
$75 /mo

Taxes included

Limited spots

  • Access to shared cluster — open models with no token caps
  • DeepSeek V4-Flash (frontier 284B, 1M context, advanced reasoning) — 500M tokens/month
  • Open models chosen by the community
  • Personal API key compatible with OpenAI
  • Private Discord channels for members only
  • Voice in quarterly model voting
  • Month to month, no commitment
Join

Limited spots. When it fills up, waitlist.

// community

NaN Community

💬
$14.99 /mo

Taxes included

No GPU access · Discord only

  • Discord access
  • Member-only channels
  • Live discussions, builds, AMAs
  • Reserved spot in line for inference
Join the community

No commitment. Cancel anytime.

// join

A community of builders. Limited spots. Shared GPUs with unlimited usage.

We share dedicated GPUs to run open models and burn tokens without limits. Leave your email and we'll reach out when we open payments.

No spam. No newsletters. We only write when we open payments.

// faq

What you'll probably ask.