Free AI Hosting

Host AI models for free. GPU access, API hosting, and cloud deployment.

Àwọn àgbèwọlé

Lo Free.ai infrastructure. Zero setup, zero maintenance. All models are pre-loaded and ready to use via API or web UI.

Tí a bá lè lò

Docker tí a fi pamọ́

Rọ́ọ̀nù àwọn àwọn ìṣàmúlò-ètò AI-source wà nípa àwọn ìṣàmúlò-ètò rẹ̀. Àwọn àwòrán Docker ní àwọn ìṣàmúlò-ètò GPU, tí a fi pọ̀ jú fún ìṣàmúlò-ètò.

Àwọn Ìṣàmúlò-ètò

Àwọn Àwọn Ààyè-iṣẹ́

Àwọn sáà GPU tí a fi hàn, tí a fi pamọ́ sínú àwọn ààyè-iṣẹ́ àwọn aládàbòójútó rẹ̀. Àwọn ààyè-iṣẹ́ ìdáràn nípa àwọn SLA àwọn aládábòójútó rẹ̀.

Àwọn Ìṣàmúlò-ètò

Àwọn ìṣàmúlò-ètò wà ní gbogbo wọn jẹ́ àìṣàmúlò-ètò tí a ṣí (Apache 2.0 / MIT). O lè rọ́ọ̀nù wọn lórí àwọn ìṣàmúlò-ètò GPU rẹ̀:

# Pull and run a model with Docker
docker pull ghcr.io/free-ai/inference:latest
docker run --gpus all -p 8000:8000 ghcr.io/free-ai/inference:latest \
  --model qwen2.5-72b --quantization awq

Àwọn Ìṣàmúlò-ètò Kékeré

NVIDIA GPU pẹlú 24GB+ VRAM (RTX 4090, A5000, A100)
CUDA 12.0+ ati Docker pẹlú NVIDIA Container Toolkit
16GB+ RAM eto, 100GB+ iranti fun móòdù kan
Fun àwọn ìṣàmúlò-ètò àwọn àwọn ìṣàmúlò-ètò 72B: 80GB VRAM (A100) tàbí ìṣàfihàn GPU-àwọn-

Kini idi ti Òjútó Ààyè Rẹ́?

Àwọn Àkọ́lé — Your data never leaves your servers
Kò ní àwọn ìdájú àwọn ìṣàmúlò-ètò — Unlimited inference on your hardware
Àwọn Ìṣàmúlò-ètò — Meet data residency requirements

Àwọn ìṣàmúlò-ètò — Fine-tune models on your data
Ìwé àwọn àwọn ìṣàmúlò-ètò — Fixed hardware costs, no per-token fees
Àwọn àgbègbè — Runs fully offline

Àwọn Àwọn Àkọsílẹ̀ API

Àwọn Àtòjọ-ẹ̀yàn

Three options: Cloud Hosted (use our infrastructure, zero setup), Docker Self-Hosted (run models on your own GPU hardware), and Managed Private (dedicated GPU servers managed by us in your preferred region).

You need an NVIDIA GPU with 24GB+ VRAM (RTX 4090, A5000, A100), CUDA 12.0+, Docker with NVIDIA Container Toolkit, 16GB+ system RAM, and 100GB+ storage per model. For 72B parameter models, you need 80GB VRAM or a multi-GPU setup.

Yes. Self-hosted deployments run fully offline once the Docker images and model weights are downloaded. This is ideal for air-gapped environments and sensitive data processing.

Pull our Docker image and run it with GPU support. The command is: docker run --gpus all -p 8000:8000 ghcr.io/free-ai/inference:latest --model qwen2.5-72b --quantization awq. The container handles model loading and serves an API endpoint.

All self-hosted models use permissive open-source licenses -- Apache 2.0, MIT, or BSD. You can use them commercially without restrictions. We deliberately exclude models with restrictive licenses like Meta's Llama license.

Managed private hosting gives you dedicated GPU servers in your preferred cloud region, fully managed by our team. We handle setup, patching, model updates, and monitoring. You get full data isolation with an enterprise SLA.

Yes. Since all models are open-source, you can fine-tune them on your own data using standard training frameworks like Hugging Face Transformers. Our Docker images are compatible with popular fine-tuning tools.

Contact our sales team to discuss a trial period. We typically offer a short evaluation period for enterprise prospects to test managed private hosting before committing to a long-term plan.

Cloud hosting uses the standard token-based pricing. Self-hosted is free -- you only pay for your own hardware and electricity. Managed private hosting is priced based on GPU allocation, region, and SLA level.

Yes. You can self-host specific models for high-volume or sensitive workloads while using the Free.ai cloud for everything else. The API format is identical, making it easy to route requests between your infrastructure and ours.

We provide documentation, Docker images, and community support for self-hosted deployments. Managed private hosting includes full technical support, monitoring, and a dedicated account manager.

Cloud hosted is best for teams that want zero maintenance. Self-hosted is ideal for data privacy, compliance, or unlimited usage on your own hardware. Managed private is the best of both worlds -- full data isolation with no operational burden.

Free AI Hosting

Àwọn àgbèwọlé

Docker tí a fi pamọ́

Àwọn Àwọn Ààyè-iṣẹ́

Àwọn Ìṣàmúlò-ètò

Àwọn Ìṣàmúlò-ètò Kékeré

Kini idi ti Òjútó Ààyè Rẹ́?

Àwọn Àtòjọ-ẹ̀yàn

Kini àwọn ìkúndùń àwọn ìṣàmúlò-ètò tí Free.ai ǹfí gbà?

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Bawo ni mo ṣe lè fi àwọn ààyè-iṣẹ́ àwọn ìṣàmúlò-ètò àìṣàmúlò-ètò pamọ́?

Àwọn ìṣẹ̀dà wo ní lè lò fún àwọn ìṣàmúlò-ètò tí a wẹ́ẹ̀bù pamọ́?

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Ń lè fi àwọn ààtòjú àwọn ìṣàmúlò-ètò àìṣàmúlò-ètò pamọ́?

Ṣe o wa nibẹ a free trial fun ti o ti ṣakoso hosting?

Bawo ni a ṣe n ṣiṣẹ́ fuń ìṣàmúlò-ètò tí a fi pamọ́ lọ́wọ́lọ́wọ́?

Ń lè fi àwọn ìṣàmúlò-ètò àti àwọn ìṣàmúlò-ètò àìṣàmúlò-ètò pọ̀?

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Bawo ni mo ṣe lè yan laarin àwọn ìṣàmúlò-ètò àìṣàmúlò-ètò?

30,000 Free Tokens, Gbogbo ọjọ

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