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GPU AI Hosting





RTX 4090 · RTX 5090 · H100 SXM5 · CUDA 12


# Anonymous Offshore GPU AI Hosting, No KYC



NVIDIA RTX 4090, RTX 5090 and H100 SXM5 GPU servers for AI training, inference, image and video generation. CUDA 12 and cuDNN preinstalled, plus PyTorch / ComfyUI / Ollama image presets ready to ssh into. Threadripper Pro hosts on H100 tiers for full PCIe Gen 5 lane count. Available in 4 offshore jurisdictions, no KYC, crypto-only payment in 20 coins including Monero.


[View GPU Plans](#plans)
[Dedicated Servers](https://servprivate.com/dedicated)






#### Every GPU Server Includes




- NVIDIA hardware, full passthrough

- CUDA 12 + cuDNN preinstalled

- Threadripper / Ryzen 9 hosts

- NVMe SSD & DDR5

- 60-second deploy

- 20 cryptos accepted incl. Monero






No KYC
Crypto Only
CUDA 12
Clean IPs
Full Root
Monero accepted


All GPU Plans


## GPU Plans by Location



Same NVIDIA hardware across every jurisdiction with unlimited bandwidth on every plan. Pricing varies by jurisdiction — Iceland is the lowest-carbon option, Moldova the cheapest.






### Iceland
Free Speech Haven


| Plan | GPU | VRAM | CPU | RAM | NVMe | Bandwidth | Price | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| IS-S | 1× NVIDIA RTX 4090 | 24 GB GDDR6X | 12 vCPU | 64 GB DDR5 | 1 TB NVMe | Unlimited | $146.50/mo | [Order](https://servprivate.com/order?type=gpu&plan=IS-S&location=iceland) |
| IS-M Popular | 1× NVIDIA RTX 5090 | 32 GB GDDR7 | 16 vCPU | 96 GB DDR5 | 1.5 TB NVMe | Unlimited | $234.50/mo | [Order](https://servprivate.com/order?type=gpu&plan=IS-M&location=iceland) |
| IS-L | 1× NVIDIA H100 SXM5 | 80 GB HBM3 | 24 vCPU | 192 GB DDR5 | 2 TB NVMe | Unlimited | $906.00/mo | [Order](https://servprivate.com/order?type=gpu&plan=IS-L&location=iceland) |
| IS-XL | 2× NVIDIA H100 SXM5 | 160 GB HBM3 | 32 vCPU | 384 GB DDR5 | 4 TB NVMe | Unlimited | $1714.50/mo | [Order](https://servprivate.com/order?type=gpu&plan=IS-XL&location=iceland) |





### Moldova
Budget Offshore


| Plan | GPU | VRAM | CPU | RAM | NVMe | Bandwidth | Price | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| MD-S | 1× NVIDIA RTX 4090 | 24 GB GDDR6X | 12 vCPU | 64 GB DDR5 | 1 TB NVMe | Unlimited | $122.00/mo | [Order](https://servprivate.com/order?type=gpu&plan=MD-S&location=moldova) |
| MD-M Popular | 1× NVIDIA RTX 5090 | 32 GB GDDR7 | 16 vCPU | 96 GB DDR5 | 1.5 TB NVMe | Unlimited | $195.50/mo | [Order](https://servprivate.com/order?type=gpu&plan=MD-M&location=moldova) |
| MD-L | 1× NVIDIA H100 SXM5 | 80 GB HBM3 | 24 vCPU | 192 GB DDR5 | 2 TB NVMe | Unlimited | $832.50/mo | [Order](https://servprivate.com/order?type=gpu&plan=MD-L&location=moldova) |
| MD-XL | 2× NVIDIA H100 SXM5 | 160 GB HBM3 | 32 vCPU | 384 GB DDR5 | 4 TB NVMe | Unlimited | $1567.50/mo | [Order](https://servprivate.com/order?type=gpu&plan=MD-XL&location=moldova) |





### Romania
Anti-Retention


| Plan | GPU | VRAM | CPU | RAM | NVMe | Bandwidth | Price | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| RO-S | 1× NVIDIA RTX 4090 | 24 GB GDDR6X | 12 vCPU | 64 GB DDR5 | 1 TB NVMe | Unlimited | $132.00/mo | [Order](https://servprivate.com/order?type=gpu&plan=RO-S&location=romania) |
| RO-M Popular | 1× NVIDIA RTX 5090 | 32 GB GDDR7 | 16 vCPU | 96 GB DDR5 | 1.5 TB NVMe | Unlimited | $210.00/mo | [Order](https://servprivate.com/order?type=gpu&plan=RO-M&location=romania) |
| RO-L | 1× NVIDIA H100 SXM5 | 80 GB HBM3 | 24 vCPU | 192 GB DDR5 | 2 TB NVMe | Unlimited | $857.00/mo | [Order](https://servprivate.com/order?type=gpu&plan=RO-L&location=romania) |
| RO-XL | 2× NVIDIA H100 SXM5 | 160 GB HBM3 | 32 vCPU | 384 GB DDR5 | 4 TB NVMe | Unlimited | $1616.50/mo | [Order](https://servprivate.com/order?type=gpu&plan=RO-XL&location=romania) |





### Netherlands
Best Peering


| Plan | GPU | VRAM | CPU | RAM | NVMe | Bandwidth | Price | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| NL-S | 1× NVIDIA RTX 4090 | 24 GB GDDR6X | 12 vCPU | 64 GB DDR5 | 1 TB NVMe | Unlimited | $136.50/mo | [Order](https://servprivate.com/order?type=gpu&plan=NL-S&location=netherlands) |
| NL-M Popular | 1× NVIDIA RTX 5090 | 32 GB GDDR7 | 16 vCPU | 96 GB DDR5 | 1.5 TB NVMe | Unlimited | $220.00/mo | [Order](https://servprivate.com/order?type=gpu&plan=NL-M&location=netherlands) |
| NL-L | 1× NVIDIA H100 SXM5 | 80 GB HBM3 | 24 vCPU | 192 GB DDR5 | 2 TB NVMe | Unlimited | $881.50/mo | [Order](https://servprivate.com/order?type=gpu&plan=NL-L&location=netherlands) |
| NL-XL | 2× NVIDIA H100 SXM5 | 160 GB HBM3 | 32 vCPU | 384 GB DDR5 | 4 TB NVMe | Unlimited | $1665.50/mo | [Order](https://servprivate.com/order?type=gpu&plan=NL-XL&location=netherlands) |





GPU hosting is available in 4 jurisdictions at launch (Iceland, Netherlands, Romania, Moldova). Russia is excluded due to NVIDIA export sanctions; Switzerland and Panama are kept Linux-only for now. 



## Included on Every GPU Server




### CUDA 12

CUDA 12.4/12.6 + cuDNN preinstalled. Boot, ssh in, run nvidia-smi.



### 60-second deploy

From paid order to nvidia-smi output in under 60 seconds.



### NVMe SSD

Up to 4 TB NVMe SSD, paired with DDR5 RAM for fast dataset I/O.



### SSH + Jupyter

Full root SSH, plus pre-bound JupyterLab on port 8888 with token auth.



Use cases

## What GPU AI Hosting is Used For




### LLM finetuning & inference

Llama, Mistral, Qwen, DeepSeek finetuning with LoRA / QLoRA / full FT on H100. Or self-hosted inference with vLLM / TGI / Ollama for production model serving.



### Image generation

Stable Diffusion, FLUX.1, SDXL with ComfyUI or Forge. Train your own LoRA, batch-generate at scale, or self-host an inference endpoint.



### AI video generation

OpenSora, CogVideoX, Wan-2.1, AnimateDiff. Video generation needs serious VRAM — start at RTX 5090 (32 GB) or H100 (80 GB).



### Production inference

Deploy fine-tuned models behind your own API. Predictable costs, no per-token fees, no data leaving your jurisdiction. JupyterLab + FastAPI included.



1-click deploy


## Pre-installed AI templates



Check the options you want at order time and your GPU server boots with the stack already installed, configured, and started via systemd. Enable pre-downloaded models below to also skip the 30–60 min HuggingFace download.







LLM Inference


### vLLM (OpenAI-compatible)





Production-grade LLM serving with continuous batching and paged attention. Exposes an /v1/completions endpoint compatible with the OpenAI SDK.


LLMOpenAI APIproduction 16 GB+






LLM Inference


### Ollama + Open WebUI





Self-hosted ChatGPT-style web UI. Pulls Ollama-native quantized weights; easiest path to "talk to my LLM in a browser".


LLMchat UIbeginner 8 GB+






LLM Inference


### text-generation-webui (Oobabooga)





Gradio UI with broad backend support — Transformers, ExLlamaV2, llama.cpp, AWQ, GPTQ. Power-user choice for benchmarking quantizations.


LLMmulti-backendpower user 16 GB+






LLM Inference


### HuggingFace TGI





HuggingFace Text Generation Inference — production server with token streaming, tensor parallelism, paged attention.


LLMproductionHuggingFace 24 GB+






Finetuning


### Axolotl (LLM finetuning)





YAML-config driven finetuning. Supports LoRA, QLoRA, full FT, DPO, ORPO. Pre-cloned to /opt/axolotl with starter configs for Llama / Qwen / Mistral.


finetuneLoRAQLoRA 24 GB+






Finetuning


### Unsloth (2× faster finetune)





2× faster + 70% less VRAM finetuning via custom Triton kernels. Ideal for budget runs on RTX 4090. Pre-installed in /opt/unsloth.


finetunefastlow VRAM 16 GB+






Finetuning


### LLaMA-Factory





WebUI-driven finetuning platform. SFT / RLHF / DPO / KTO. Good entry point for non-coders who want to finetune on a UI.


finetuneGUI 24 GB+






Image Generation


### ComfyUI + FLUX.1





Node-graph image-gen interface, ships with FLUX.1-schnell + Kontext workflows. Power-user image generation pipeline.


imageFLUXworkflow 24 GB+






Image Generation


### Automatic1111 + SD 3.5





The mainstream Stable Diffusion WebUI. Stable Diffusion 3.5 + extensions ecosystem. Familiar UI for users coming from civitai.


imageSD 3.5 16 GB+






Image Generation


### Forge (faster A1111)





A1111 fork optimized for FLUX, faster sampling, lower VRAM. Drop-in replacement for users coming from Auto1111.


imageFLUXfast 16 GB+






Image Generation


### Kohya SS (LoRA training)





GUI for training Stable Diffusion / FLUX LoRA, DreamBooth, textual inversion. Trains a custom-style LoRA on RTX 4090 in 30-90 min.


LoRA trainingimageGUI 16 GB+






AI Video


### ComfyUI + Wan 2.2 / HunyuanVideo





ComfyUI with video-gen workflows preloaded — Wan 2.2 T2V, HunyuanVideo, LTX-Video. Needs 40+ GB VRAM for usable speed at 720p.


videoWan 2.2HunyuanVideo 40 GB+






AI Video


### ComfyUI Video Lite (CogVideoX / LTX)





Lightweight video workflows — CogVideoX-5B, Wan 2.1 1.3B, LTX-Video. Runs on a single RTX 4090.


videoCogVideoXlow VRAM 16 GB+






Audio


### Whisper Large v3 Turbo server





OpenAI Whisper Large v3 Turbo with faster-whisper backend behind a /transcribe HTTP API. 8× faster than v3, 99 langs, real-time on any GPU.


audiospeech-to-textAPI 6 GB+






Audio


### TTS server (Kokoro + CSM-1B)





Multi-model TTS endpoint serving Kokoro 82M (54 voices, 8 langs) and Sesame CSM-1B (conversational with context). REST + WebSocket streaming.


audiotext-to-speechAPI 6 GB+






Notebooks & Dev


### JupyterLab + PyTorch baseline





Always installed. PyTorch 2.5 + CUDA 12.4 + Transformers + diffusers + accelerate + bitsandbytes + xformers + flash-attn. The universal AI dev baseline.


notebookbaselinealways-on 0 GB+






Notebooks & Dev


### code-server (VSCode in browser)





VSCode running in your browser, full Python/IPython/extensions. For users who prefer IDE workflow over notebooks.


IDEVSCodedev 0 GB+





Combine multiple stacks on the same GPU — the deploy script resolves dependency conflicts and assigns non-conflicting ports.

Skip the download


## Pre-downloaded open-weight models



Check the models you need at order time and they are cached to /root/.cache/huggingface before you log in. 🔒 Gated models (Llama, Mistral, Gemma, FLUX-dev, SD 3.5) require your HuggingFace token (also requested at order time).



| Model | HuggingFace | Size | Min VRAM | Min GPU tier | Type |
| --- | --- | --- | --- | --- | --- |
| **Llama 3.3 70B Instruct** 🔒 Gated | meta-llama/Llama-3.3-70B-Instruct | 140 GB | 160 GB | **GPU-L** | LLM |
| **Qwen3 32B** | Qwen/Qwen3-32B | 64 GB | 80 GB | **GPU-L** | LLM |
| **Qwen3 14B** | Qwen/Qwen3-14B | 28 GB | 32 GB | **GPU-S** | LLM |
| **Qwen3 8B** | Qwen/Qwen3-8B | 16 GB | 20 GB | **GPU-S** | LLM |
| **DeepSeek-R1 Distill Qwen 32B** | deepseek-ai/DeepSeek-R1-Distill-Qwen-32B | 64 GB | 80 GB | **GPU-S** | LLM |
| **DeepSeek-R1 Distill Llama 70B** | deepseek-ai/DeepSeek-R1-Distill-Llama-70B | 140 GB | 160 GB | **GPU-S** | LLM |
| **Mistral Small 3.2 24B (multimodal)** | mistralai/Mistral-Small-3.2-24B-Instruct-2506 | 48 GB | 60 GB | **GPU-S** | LLM |
| **Gemma 3 27B (multimodal)** 🔒 Gated | google/gemma-3-27b-it | 54 GB | 64 GB | **GPU-L** | LLM |
| **Gemma 3 12B (multimodal)** 🔒 Gated | google/gemma-3-12b-it | 24 GB | 28 GB | **GPU-S** | LLM |
| **Phi-4 (14B)** | microsoft/phi-4 | 28 GB | 32 GB | **GPU-S** | LLM |
| **Phi-4 Mini Instruct (3.8B)** | microsoft/Phi-4-mini-instruct | 8 GB | 10 GB | **GPU-S** | LLM |
| **FLUX.1 [dev]** 🔒 Gated | black-forest-labs/FLUX.1-dev | 24 GB | 24 GB | **GPU-S** | Image |
| **FLUX.1 [schnell]** | black-forest-labs/FLUX.1-schnell | 24 GB | 24 GB | **GPU-S** | Image |
| **FLUX.1 Kontext [dev] (image editing)** 🔒 Gated | black-forest-labs/FLUX.1-Kontext-dev | 24 GB | 24 GB | **GPU-S** | Image |
| **Stable Diffusion 3.5 Large** 🔒 Gated | stabilityai/stable-diffusion-3.5-large | 16 GB | 18 GB | **GPU-S** | Image |
| **Stable Diffusion 3.5 Medium** 🔒 Gated | stabilityai/stable-diffusion-3.5-medium | 5 GB | 10 GB | **GPU-S** | Image |
| **HiDream-I1 Full** | HiDream-ai/HiDream-I1-Full | 34 GB | 40 GB | **GPU-S** | Image |
| **Wan 2.2 T2V A14B** | Wan-AI/Wan2.2-T2V-A14B | 28 GB | 40 GB | **GPU-S** | Video |
| **Wan 2.1 T2V 1.3B (low VRAM)** | Wan-AI/Wan2.1-T2V-1.3B | 3 GB | 8 GB | **GPU-S** | Video |
| **HunyuanVideo 1.5 (8.3B)** | tencent/HunyuanVideo-1.5 | 17 GB | 24 GB | **GPU-S** | Video |
| **LTX-Video 0.9.8 13B** | Lightricks/LTX-Video | 26 GB | 24 GB | **GPU-S** | Video |
| **CogVideoX-5B** | zai-org/CogVideoX-5b | 10 GB | 16 GB | **GPU-S** | Video |
| **Whisper Large v3 Turbo** | openai/whisper-large-v3-turbo | 2 GB | 4 GB | **GPU-S** | Audio |
| **Whisper Large v3** | openai/whisper-large-v3 | 3 GB | 6 GB | **GPU-S** | Audio |
| **Kokoro 82M (TTS)** | hexgrad/Kokoro-82M | 1 GB | 2 GB | **GPU-S** | Audio |
| **Sesame CSM-1B (conversational TTS)** | sesame/csm-1b | 2 GB | 6 GB | **GPU-S** | Audio |
| **Stable Audio Open 1.0** 🔒 Gated | stabilityai/stable-audio-open-1.0 | 3 GB | 8 GB | **GPU-S** | Audio |



Sizes are FP16 weights. For RTX 4090 (24 GB VRAM) with 70B models, the AWQ-quantised variant is downloaded automatically in parallel.

How we compare


## ServPrivate vs Vast.ai · RunPod · Paperspace · Lambda Labs · TensorDock



Crypto-only payment, native Monero, token-only signup, pre-installed AI stacks, pre-downloaded HuggingFace models, encrypted HF tokens, automatic Let's Encrypt endpoints, unmetered bandwidth, and 100% renewable energy in Iceland — read the ServPrivate row and judge for yourself.



| Feature | ServPrivate | Vast.ai | RunPod | Paperspace | Lambda | TensorDock |
| --- | --- | --- | --- | --- | --- | --- |
| **Crypto-only checkout** | ✅ 20 coins | ⚠️ BTC | ⚠️ Gateway | ❌ | ❌ | ⚠️ BTC/ETH/USDT |
| **Native Monero (XMR)** | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ |
| **No KYC, no email signup** | ✅ Token-only | ⚠️ Email + ID for trust | ⚠️ Email + payment | ❌ Full KYC | ❌ Enterprise KYC | ⚠️ Email + light KYC |
| **Pre-installed AI stacks** | ✅ 17 templates | ⚠️ Docker BYO | ✅ 100+ | ⚠️ Notebooks only | ⚠️ Lambda Stack only | ⚠️ Docker BYO |
| **Pre-downloaded models at order** | ✅ 27 models | ❌ | ❌ | ❌ | ❌ | ❌ |
| **HuggingFace token at order** | ✅ Encrypted, used once | ❌ | ❌ | ❌ | ❌ | ❌ |
| **SSH key at order** | ✅ | ✅ | ✅ | ⚠️ | ✅ | ⚠️ |
| **Auto-shutdown timer** | ✅ 6h-7d | ✅ | ⚠️ Spot only | ❌ | ❌ | ❌ |
| **Public HTTPS endpoint (Let's Encrypt)** | ✅ Auto | ⚠️ Manual | ✅ Pods | ✅ | ❌ | ⚠️ Manual |
| **Unlimited bandwidth** | ✅ | ⚠️ Per host | ⚠️ Capped | ⚠️ Capped | ⚠️ Capped | ⚠️ Per host |
| **Renewable-energy datacenter** | ✅ Iceland 100% geo+hydro | ❌ Variable | ⚠️ US grid | ⚠️ US grid | ⚠️ US grid | ⚠️ Variable |
| **Offshore jurisdiction** | ✅ IS / NL / RO / MD | ❌ Distributed P2P | ❌ US-centric | ❌ US | ❌ US-only | ⚠️ Multi-region |
| **Sandbox dry-run mode** | ✅ ?dry_run=1 | ⚠️ Trial credit | ⚠️ Limited | ⚠️ Free GPU tier | ❌ | ❌ |
| **AI-agent / MCP first** | ✅ MCP + REST + x402 | ⚠️ REST | ⚠️ REST | ⚠️ REST | ⚠️ REST | ⚠️ REST |
| **Entry RTX 4090 / mo** | **$122.00** | ~$216 spot | ~$396 on-demand | n/a | n/a | ~$252 spot |



Comparison data sourced from competitors' public pricing pages and signup flows as of 2026-05. ServPrivate entry RTX 4090 = $249/mo Moldova; competitors' "spot" prices are averages for equivalent hardware.

FAQ

## GPU AI Hosting FAQ





### 01
Is the GPU passed through with full hardware access, or is it shared / vGPU sliced?



Full hardware passthrough. You get the entire physical NVIDIA card with direct VRAM access — not a vGPU slice, not a time-shared MIG partition. nvidia-smi inside your VM shows the same numbers as the bare-metal host. Full driver access, full CUDA, full PyTorch / TensorFlow stack — no SR-IOV reservations.





### 02
Which CUDA / driver versions are preinstalled?



Default image: Ubuntu 22.04 + CUDA 12.4 + cuDNN 9 + NVIDIA driver 550. Other ready-to-go images: Ubuntu 24.04 + CUDA 12.6, Ubuntu 22 + PyTorch 2.5, Ubuntu 22 + ComfyUI + Flux, Ubuntu 22 + Ollama + Open WebUI. Vanilla Ubuntu / Debian / AlmaLinux / Rocky also offered if you want to install your own stack. You can switch driver versions at any time as full root.





### 03
Can I run my own AI startup's production inference on these GPUs?



Yes. Many of our GPU customers run public inference APIs on top of vLLM / TGI / FastAPI. The GPU servers come with full root, predictable monthly billing (no per-token surprises) and a fixed jurisdictional IP. Bandwidth is unlimited on every GPU plan, so you can serve high-traffic public endpoints without watching meters or paying overage fees.





### 04
Why is Russia excluded from GPU locations?



NVIDIA H100, A100 and high-end RTX cards (4090 and above) are subject to US Department of Commerce export controls (15 CFR Part 744) and EU dual-use regulations that prohibit shipment to Russian datacenters. We do not provision them in Russia to stay compliant with the controls that apply to our supply chain. If you need offshore Linux VPS or Dedicated in Russia, those product lines are unaffected.





### 05
Why is Iceland positioned as the premium GPU location?



Iceland datacenters run on 100% renewable geothermal and hydroelectric power, and the cold ambient temperature meaningfully reduces the cooling overhead on H100 boxes that draw 700W each under sustained load. The end result is the lowest-carbon offshore GPU compute on the market. The premium price covers the higher datacenter cost in Iceland and the cleaner energy sourcing — for ESG-conscious AI teams, this is the only credible offshore answer.





### 06
Can I use multiple GPUs in distributed training (DDP / FSDP)?



Yes — the GPU-XL tier is 2× H100 SXM5 with NVLink interconnect inside one box, ideal for FSDP / DeepSpeed Zero-3 / DDP on the same machine. For multi-node training you can rent multiple GPU-XL servers in the same datacenter and connect them over the 10 Gbps uplink. We do not yet ship 8× H100 cluster nodes — contact us if your training run needs more scale.






## Deploy Your Offshore GPU Server



Pick your jurisdiction, pick your NVIDIA GPU, pay in any of 20 cryptos. Live JupyterLab in under 60 seconds. No KYC, no email, no phone — just a token.

[View GPU Plans](#plans)


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