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Self-host DeepSeek-R1, Llama-3.3, Qwen3 — no inference logging, no content policy.

Uncensored AI Hosting — Self-Host Your Own LLM

OpenAI, Anthropic, Google, and xAI all enforce content policies on their hosted endpoints — and log every prompt for safety classification, model improvement, and responses to government requests. Self-hosting on your own GPU box reverses that: any open-weight model you can legally obtain runs locally, no inference traffic crosses our network layer, no prompts are logged, no outputs are filtered. AnonPort delivers RTX 4090 / RTX 5090 / H100 SXM5 GPU servers in 4 offshore jurisdictions with 1-click vLLM, Ollama, ComfyUI, Whisper, and Bark templates.

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What "uncensored" actually means here

No inference logging — your prompts are not captured
No content policy — model weights you bring run unmodified
Open-weight models pre-downloaded at order time
Air-gapped from third-party AI APIs by default
CUDA 12 + vLLM / Ollama / ComfyUI ready in 1 click

No KYC

Crypto Only

No Logs

DMCA Ignored

Full Root

NVMe SSD

Hosted endpoints log everything. Local weights log nothing.

The "uncensored AI" question is really a sovereignty question

When you call the OpenAI API, your prompts enter a US-jurisdiction log retained for at least 30 days (longer for safety classifications), reviewed by safety teams when flagged, and subject to US legal process. The model also refuses categories of output that its safety RLHF was trained on. When you run Llama-3.3-70B-Instruct (or its abliterated derivative) on your own GPU, your prompts never leave your machine, the refusal training is whatever the underlying weights provide, and the legal jurisdiction is wherever you hosted the box. Both layers — no logging and weights of your choice — are what people mean by "uncensored AI". AnonPort delivers both: offshore GPU with no inference-network capture, plus 1-click templates that load any HuggingFace model without us inspecting the weights.

Bring Any Open-Weight Model

Llama-3.3, DeepSeek-R1, Qwen3, Mistral-Small-3, Gemma-3, Phi-4, abliterated forks, custom fine-tunes — anything on HuggingFace or your own .safetensors files. We pre-download at order time if you provide the repo path.

No Inference Traffic Capture

Inference runs on your GPU, inside your KVM guest. We do not proxy, mirror, or sample your model traffic. Your prompts and generations stay local until you decide otherwise.

Offshore Jurisdiction

Iceland (free-speech haven, 100% renewable energy), Netherlands (best EU peering), Romania (anti-retention judicial precedent), Moldova (light regulation, low cost). Choose the legal framework that fits.

Public HTTPS Endpoint — Optional

Enable it at order time and we provision Let's Encrypt + reverse proxy on port 443 — your vLLM / Ollama instance is reachable on a public URL with TLS in under 60 seconds.

What "uncensored AI" actually means in 2026

The term "uncensored AI" carries three distinct meanings depending on context. (1) Refusal-removed weights — abliterated / uncensored fine-tunes of base models (e.g. Llama-3.3-70B-abliterated) have had the safety RLHF removed via activation editing or directional ablation. They will produce outputs the original instruct model refuses. (2) No content moderation in the serving layer — running the same model without an OpenAI-style policy classifier in front of inference. (3) No prompt/completion logging — your inputs and outputs never leave the box and are retained nowhere upstream. AnonPort delivers (2) and (3) by default, and you supply the model weights for (1) — we do not inspect or filter what runs on your hardware.

The current 2026 landscape of self-hostable LLMs

As of May 2026, the open-weight ecosystem genuinely competes with hosted GPT-4 / Claude / Gemini on many tasks. DeepSeek-R1 and its distillation into Llama-70B match GPT-4 on reasoning benchmarks at a fraction of the inference cost. Llama-3.3-70B-Instruct remains the default workhorse for general assistance. Qwen3-32B is strong multilingually and reasoning-capable. Gemma-3-27B trades capability for license clarity. Mistral-Small-3 is the speed/quality sweet spot for code tasks. Phi-4 punches above its 14B weight class. FLUX.1-dev has displaced SDXL for image generation. Whisper-Large-v3 remains the open-weight ASR leader. All run on the GPU tiers below — see the GPU buying guide for sizing.

Operational hygiene for an uncensored AI host

Even on a no-KYC GPU box with no inference logging, you can leak identity into the workload. Practical hygiene for serious self-hosters: (1) connect to the box via Tor or a VPN before SSH; (2) use a fresh SSH key not linked to your GitHub account; (3) if you expose a public HTTPS endpoint, protect it with an API key and rate-limit by token rather than by IP; (4) pre-download weights inline at order time rather than fetching them post-deployment with your HuggingFace account; (5) for sensitive prompts, run llama.cpp or vLLM behind an isolated network namespace. We document these patterns in the guide hub.

What is and isn't within scope of "uncensored"

Within scope: NSFW or politically sensitive outputs that base model safety RLHF training would refuse, fictional content involving violence, outputs criticizing named individuals or governments, dual-use research outputs (e.g. cybersecurity, biology, chemistry at textbook level), outputs in adversarial prompt-engineering tone. Outside our AUP: CSAM (zero tolerance, regardless of model), instructions for mass-casualty CBRN attacks (regardless of model), targeted harassment campaigns against named individuals, and outputs explicitly prohibited by the host country's law. The model itself decides almost everything; the AUP carves out the hardest edge cases.

Jurisdictions

Uncensored AI hosting in 4 offshore jurisdictions

Russia is excluded from the GPU lineup due to NVIDIA H100 / RTX 4090+ export sanctions.

Iceland

Free Speech Haven

Strong privacy laws, renewable energy, outside EU.

$10.00/mo VPS $63.00/mo Dedi

Panama

No Data Retention

No retention laws, no MLAT with most western countries.

$8.50/mo VPS $53.50/mo Dedi

Moldova

Budget Offshore

Light regulation, low prices, minimal intl cooperation.

$7.50/mo VPS $48.50/mo Dedi

Romania

Anti-Retention

Courts struck down data retention laws. Great EU connectivity.

$8.50/mo VPS $53.50/mo Dedi

Switzerland

Premium Privacy

Strict privacy laws, political neutrality, top-tier infra.

$11.00/mo VPS $68.00/mo Dedi

Netherlands

Best Peering

Excellent connectivity, tolerant hosting, AMS-IX peering.

$9.00/mo VPS $58.50/mo Dedi

Russia

Western-Proof

Outside western legal reach. Subject to Russian law.

$7.50/mo VPS $48.50/mo Dedi

FAQ

Uncensored AI Hosting — frequently asked questions

01 Do you log prompts or model outputs?

No. The GPU box is your KVM guest. We do not proxy your inference traffic, mirror it, sample it, or forward prompt or completion content anywhere. The only logs we keep are at the network level (bandwidth counters) and hypervisor level (uptime, GPU power draw).

02 Can I run Llama-3.3-70B-abliterated or DeepSeek-R1 here?

Yes. Any open-weight model on HuggingFace that you can legally obtain — Llama-3.3-70B-Instruct, abliterated forks, DeepSeek-R1, DeepSeek-R1-Distill-Llama-70B, Qwen3-32B, Gemma-3-27B, Mistral-Small-3, Phi-4, and others. We pre-download at order time when you specify the HF repo, or you can pull manually after the first SSH login.

03 Which model sizes fit which GPU tier?

Rough sizing at Q4 quantization: RTX 4090 (24 GB) fits 7B–13B comfortably and 27–32B with offload pain. RTX 5090 (32 GB) fits 27B–32B comfortably and 70B with CPU offload. H100 SXM5 (80 GB) fits 70B at Q4–Q5 comfortably. Dual H100 (160 GB) fits 70B at FP16, 120–180B at Q4. The buying guide at /guides/rtx-4090-vs-h100-for-ai-inference has detailed throughput figures.

04 Is there a content policy I'll run into?

No platform-side content policy on what your model produces. Our AUP only prohibits what is illegal in the host country regardless of how it was generated (CSAM, mass-casualty CBRN attack instructions, targeted harassment of named individuals). Everything else — including NSFW, political, dual-use research, and adversarially-prompted outputs — runs.

05 Can I serve my LLM on a public URL?

Yes. Enable "Public HTTPS" at order time — we provision a Let's Encrypt certificate and reverse proxy on port 443 to your vLLM / Ollama / Open WebUI port. Your model is reachable at `https://.anonport.dev` (or your own domain if you point an A record) with TLS, no extra setup.

06 How does this compare to OpenAI, Anthropic, or OpenRouter proxies?

OpenAI / Anthropic: hosted, full content policy, 30-day prompt logging, US legal jurisdiction. OpenRouter / Together / Fireworks: still hosted, vendor-defined content policy, vendor logging. Self-hosted on offshore GPU: no platform-side policy, no logging by us, host-country jurisdiction. Trade-off: you pay for GPU time whether you use it or not, and you operate the stack yourself. At high volume the math favors self-hosting; at sporadic usage hosted APIs win on price.

See all questions in the full FAQ →

How it works

How to deploy an offshore server in 5 minutes

Pick a jurisdiction, choose a plan, pay with cryptocurrency, receive a token, deploy.

1

Choose your jurisdiction

Pick the country that matches your legal needs — free speech (Iceland), no data retention (Panama), DMCA-proof (Russia), etc. Use our jurisdiction selector if unsure.
2

Pick a plan

Browse VPS or dedicated plans. All include NVMe SSD, unlimited bandwidth, DDoS protection and IPv6.
3

Pay with cryptocurrency

Pay in Bitcoin, Monero, Ethereum, Tether or any of 5 other supported crypto chains. No email, name, phone or ID required. No fiat accepted.
4

Receive your access token

After payment confirmation, you receive a unique token. This token replaces all account credentials. Save it securely.
5

Connect to your server

Server is provisioned automatically in under 5 minutes. SSH into it with the credentials provided. Full root access, VNC console available.

Self-host your own AI — no logs, no policy

Llama, DeepSeek, Qwen, Mistral, Gemma — bring any open-weight model. Offshore GPU from $122.00/month, CUDA 12 + 1-click vLLM ready.

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