[Ana Sayfa](https://servprivate.com/tr) /
GPU AI Barındırma





RTX 4090 · RTX 5090 · H100 SXM5 · CUDA 12


# Anonim Offshore GPU AI Barındırma, KYC'siz



NVIDIA RTX 4090, RTX 5090 ve H100 SXM5 GPU sunucular için AI training, inference, image ve video generation. CUDA 12 ve cuDNN preinstalled, plus PyTorch / ComfyUI / Ollama image presets hazır için ssh içine. Threadripper Pro hosts üzerinde H100 tiers için tam PCIe Gen 5 lane count. Available içinde 4 offshore jurisdictions, yok KYC, crypto-yalnızca ödeme içinde 20 coins including Monero.


[GPU Planlarını Görüntüle](#plans)
[Dedicated Sunucular](https://servprivate.com/tr/dedicated)






#### Her GPU Sunucusu Şunları İçerir




- NVIDIA donanım, tam passthrough

- CUDA 12 + cuDNN önceden yüklü

- Threadripper / Ryzen 9 sunucu işlemcileri

- NVMe SSD & DDR5

- 60 saniyelik dağıtım

- 20 cryptos accepted incl. Monero






KYC yok
Yalnızca Kripto
CUDA 12
Temiz IP'ler
Tam Root
Monero accepted


Tüm GPU Planları


## GPU Plans tarafından Lokasyon



Her yargı bölgesinde aynı NVIDIA donanımı ve her planda sınırsız bant genişliği. Fiyatlandırma yargı bölgesine göre değişir — İzlanda en düşük karbonlu seçenek, Moldova en ucuzu.






### İzlanda
İfade özgürlüğü için güvenli bölge


| Paket | GPU | VRAM | CPU | RAM | NVMe | Bant Genişliği | Fiyat | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| IS-S | 1× NVIDIA RTX 4090 | 24 GB GDDR6X | 12 vCPU | 64 GB DDR5 | 1 TB NVMe | Sınırsız | $146.50/mo | [Sipariş](https://servprivate.com/tr/order?type=gpu&plan=IS-S&location=iceland) |
| IS-M Popüler | 1× NVIDIA RTX 5090 | 32 GB GDDR7 | 16 vCPU | 96 GB DDR5 | 1.5 TB NVMe | Sınırsız | $234.50/mo | [Sipariş](https://servprivate.com/tr/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 | Sınırsız | $906.00/mo | [Sipariş](https://servprivate.com/tr/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 | Sınırsız | $1714.50/mo | [Sipariş](https://servprivate.com/tr/order?type=gpu&plan=IS-XL&location=iceland) |





### Moldova
Uygun maliyetli offshore


| Paket | GPU | VRAM | CPU | RAM | NVMe | Bant Genişliği | Fiyat | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| MD-S | 1× NVIDIA RTX 4090 | 24 GB GDDR6X | 12 vCPU | 64 GB DDR5 | 1 TB NVMe | Sınırsız | $122.00/mo | [Sipariş](https://servprivate.com/tr/order?type=gpu&plan=MD-S&location=moldova) |
| MD-M Popüler | 1× NVIDIA RTX 5090 | 32 GB GDDR7 | 16 vCPU | 96 GB DDR5 | 1.5 TB NVMe | Sınırsız | $195.50/mo | [Sipariş](https://servprivate.com/tr/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 | Sınırsız | $832.50/mo | [Sipariş](https://servprivate.com/tr/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 | Sınırsız | $1567.50/mo | [Sipariş](https://servprivate.com/tr/order?type=gpu&plan=MD-XL&location=moldova) |





### Romanya
Veri saklama karşıtı


| Paket | GPU | VRAM | CPU | RAM | NVMe | Bant Genişliği | Fiyat | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| RO-S | 1× NVIDIA RTX 4090 | 24 GB GDDR6X | 12 vCPU | 64 GB DDR5 | 1 TB NVMe | Sınırsız | $132.00/mo | [Sipariş](https://servprivate.com/tr/order?type=gpu&plan=RO-S&location=romania) |
| RO-M Popüler | 1× NVIDIA RTX 5090 | 32 GB GDDR7 | 16 vCPU | 96 GB DDR5 | 1.5 TB NVMe | Sınırsız | $210.00/mo | [Sipariş](https://servprivate.com/tr/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 | Sınırsız | $857.00/mo | [Sipariş](https://servprivate.com/tr/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 | Sınırsız | $1616.50/mo | [Sipariş](https://servprivate.com/tr/order?type=gpu&plan=RO-XL&location=romania) |





### Hollanda
En iyi peering


| Paket | GPU | VRAM | CPU | RAM | NVMe | Bant Genişliği | Fiyat | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| NL-S | 1× NVIDIA RTX 4090 | 24 GB GDDR6X | 12 vCPU | 64 GB DDR5 | 1 TB NVMe | Sınırsız | $136.50/mo | [Sipariş](https://servprivate.com/tr/order?type=gpu&plan=NL-S&location=netherlands) |
| NL-M Popüler | 1× NVIDIA RTX 5090 | 32 GB GDDR7 | 16 vCPU | 96 GB DDR5 | 1.5 TB NVMe | Sınırsız | $220.00/mo | [Sipariş](https://servprivate.com/tr/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 | Sınırsız | $881.50/mo | [Sipariş](https://servprivate.com/tr/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 | Sınırsız | $1665.50/mo | [Sipariş](https://servprivate.com/tr/order?type=gpu&plan=NL-XL&location=netherlands) |





GPU barındırma olur mevcut içinde 4 jurisdictions konumunda launch (İzlanda, Hollanda, Romanya, Moldova). Rusya olur excluded due için NVIDIA export sanctions; İsviçre ve Panama olur kept Linux-yalnızca için now. 



## Included üzerinde Her GPU Server




### CUDA 12

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



### 60 saniyelik dağıtım

From paid sipariş için nvidia-smi output içinde altında 60 seconds.



### NVMe SSD

Up için 4 TB NVMe SSD, paired ile DDR5 RAM için fast dataset I/O.



### SSH + Jupyter

Full root SSH, plus pre-bound JupyterLab üzerinde port 8888 ile token auth.



Kullanım senaryoları

## What GPU AI Hosting is Used For




### LLM ince ayarı ve çıkarım

Llama, Mistral, Qwen, DeepSeek finetuning ile LoRA / QLoRA / tam FT üzerinde H100. Or self-hosted inference ile vLLM / TGI / Ollama için production model serving.



### Görüntü oluşturma

Stable Diffusion, FLUX.1, SDXL ile ComfyUI veya Forge. Train sizin own LoRA, batch-generate konumunda scale, veya self-host an inference endpoint.



### AI video oluşturma

OpenSora, CogVideoX, Wan-2.1, AnimateDiff. Video generation needs serious VRAM — başla konumunda RTX 5090 (32 GB) veya H100 (80 GB).



### Üretim çıkarımı

Deploy fine-tuned models behind sizin own API. Predictable costs, yok per-token fees, yok data leaving sizin jurisdiction. JupyterLab + FastAPI dahil.



1 tıklamayla dağıtım


## Önceden yüklü AI şablonları



Tick any -ın bunlar konumunda sipariş zaman ve sizin GPU sunucu boots ile stack already installed, yapılandırınd ve started üzerinden systemd. Add pre-downloaded models below için skip HuggingFace 30-60 min download too.







LLM Çıkarımı


### 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 Çıkarımı


### 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 Çıkarımı


### 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 Çıkarımı


### HuggingFace TGI





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


LLMproductionHuggingFace 24 GB+






İnce ayar


### 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+






İnce ayar


### 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+






İnce ayar


### 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+






Görüntü Oluşturma


### ComfyUI + FLUX.1





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


imageFLUXworkflow 24 GB+






Görüntü Oluşturma


### 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+






Görüntü Oluşturma


### Forge (faster A1111)





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


imageFLUXfast 16 GB+






Görüntü Oluşturma


### 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+






Ses


### 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+






Ses


### 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+






Dizüstü Bilgisayarlar & Geliştirme


### 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+






Dizüstü Bilgisayarlar & Geliştirme


### 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 üzerinde aynı GPU — deploy script resolves dependency conflicts ve assigns non-clashing ports.

Skip download


## Önceden indirilmiş açık ağırlıklı modeller



Tick models siz need konumunda sipariş zaman ve onlar're cached içinde /root/.cache/huggingface before siz log içinde. 🔒 Gated models (Llama, Mistral, Gemma, FLUX-dev, SD 3.5) require sizin HuggingFace token (also asked konumunda sipariş zaman).



| Model | HuggingFace | Size | Min VRAM | Min GPU kademesi | Tür |
| --- | --- | --- | --- | --- | --- |
| **Llama 3.3 70B Instruct** 🔒 Kısıtlı | 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)** 🔒 Kısıtlı | google/gemma-3-27b-it | 54 GB | 64 GB | **GPU-L** | LLM |
| **Gemma 3 12B (multimodal)** 🔒 Kısıtlı | 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]** 🔒 Kısıtlı | black-forest-labs/FLUX.1-dev | 24 GB | 24 GB | **GPU-S** | Görüntü |
| **FLUX.1 [schnell]** | black-forest-labs/FLUX.1-schnell | 24 GB | 24 GB | **GPU-S** | Görüntü |
| **FLUX.1 Kontext [dev] (image editing)** 🔒 Kısıtlı | black-forest-labs/FLUX.1-Kontext-dev | 24 GB | 24 GB | **GPU-S** | Görüntü |
| **Stable Diffusion 3.5 Large** 🔒 Kısıtlı | stabilityai/stable-diffusion-3.5-large | 16 GB | 18 GB | **GPU-S** | Görüntü |
| **Stable Diffusion 3.5 Medium** 🔒 Kısıtlı | stabilityai/stable-diffusion-3.5-medium | 5 GB | 10 GB | **GPU-S** | Görüntü |
| **HiDream-I1 Full** | HiDream-ai/HiDream-I1-Full | 34 GB | 40 GB | **GPU-S** | Görüntü |
| **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** | Ses |
| **Whisper Large v3** | openai/whisper-large-v3 | 3 GB | 6 GB | **GPU-S** | Ses |
| **Kokoro 82M (TTS)** | hexgrad/Kokoro-82M | 1 GB | 2 GB | **GPU-S** | Ses |
| **Sesame CSM-1B (conversational TTS)** | sesame/csm-1b | 2 GB | 6 GB | **GPU-S** | Ses |
| **Stable Audio Open 1.0** 🔒 Kısıtlı | stabilityai/stable-audio-open-1.0 | 3 GB | 8 GB | **GPU-S** | Ses |



Sizes olur FP16 weights. For RTX 4090 (24 GB VRAM) üzerinde 70B models, AWQ-quantized variant olur auto-downloaded içinde parallel.

How biz karşılaştır


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



Crypto-yalnızca checkout, native Monero, token-yalnızca signup, pre-installed AI stacks, pre-downloaded HuggingFace models, encrypted HF tokens, auto Let's Encrypt endpoints, sınırsız bandwidth ve 100% renewable energy içinde İzlanda — read row labelled "ServPrivate" ve judge için yourself.



| Özellik | ServPrivate | Vast.ai | RunPod | Paperspace | Lambda | TensorDock |
| --- | --- | --- | --- | --- | --- | --- |
| **Crypto-yalnızca checkout** | ✅ 20 coins | ⚠️ BTC | ⚠️ Gateway | ❌ | ❌ | ⚠️ BTC/ETH/USDT |
| **Yerel Monero (XMR)** | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ |
| **No KYC, yok email signup** | ✅ Token-only | ⚠️ Email + ID for trust | ⚠️ Email + payment | ❌ Full KYC | ❌ Enterprise KYC | ⚠️ Email + light KYC |
| **Önceden yüklü AI yığınları** | ✅ 17 templates | ⚠️ Docker BYO | ✅ 100+ | ⚠️ Notebooks only | ⚠️ Lambda Stack only | ⚠️ Docker BYO |
| **Pre-downloaded models konumunda sipariş** | ✅ 27 models | ❌ | ❌ | ❌ | ❌ | ❌ |
| **HuggingFace token konumunda sipariş** | ✅ Encrypted, used once | ❌ | ❌ | ❌ | ❌ | ❌ |
| **SSH key konumunda sipariş** | ✅ | ✅ | ✅ | ⚠️ | ✅ | ⚠️ |
| **Otomatik kapanma zamanlayıcısı** | ✅ 6h-7d | ✅ | ⚠️ Spot only | ❌ | ❌ | ❌ |
| **Genel HTTPS endpoint (Let's Encrypt)** | ✅ Auto | ⚠️ Manual | ✅ Pods | ✅ | ❌ | ⚠️ Manual |
| **Sınırsız bant genişliği** | ✅ | ⚠️ Per host | ⚠️ Capped | ⚠️ Capped | ⚠️ Capped | ⚠️ Per host |
| **Yenilenebilir enerjili veri merkezi** | ✅ Iceland 100% geo+hydro | ❌ Variable | ⚠️ US grid | ⚠️ US grid | ⚠️ US grid | ⚠️ Variable |
| **Offshore yetki alanı** | ✅ IS / NL / RO / MD | ❌ Distributed P2P | ❌ US-centric | ❌ US | ❌ US-only | ⚠️ Multi-region |
| **Korumalı kuru çalışma modu** | ✅ ?dry_run=1 | ⚠️ Trial credit | ⚠️ Limited | ⚠️ Free GPU tier | ❌ | ❌ |
| **AI-agent / MCP öncelikli** | ✅ MCP + REST + x402 | ⚠️ REST | ⚠️ REST | ⚠️ REST | ⚠️ REST | ⚠️ REST |
| **Giriş RTX 4090 / ay** | **$122.00** | ~$216 spot | ~$396 on-demand | n/a | n/a | ~$252 spot |



Comparison data sourced başlangıç competitors' genel 2026-05 fiyatlandırma sayfas ve signup flows. ServPrivate entry RTX 4090 = $122.00/mo Moldova; competitor "spot" fiyatlar olur average rates için equivalent donanım.

SSS

## GPU AI Barındırma FAQ





### 01
Is GPU passed aracılığıyla ile tam donanım erişim, veya olur bu shared / vGPU sliced?



Tam donanım aktarımı. Fiziksel NVIDIA kartın tamamını doğrudan VRAM erişimiyle alırsınız — vGPU dilimi veya zaman paylaşımlı MIG bölümü değil. VM'inizin içindeki nvidia-smi, bare-metal ana bilgisayarla aynı sayıları gösterir. Tam sürücü erişimi, tam CUDA, tam PyTorch / TensorFlow yığını — SR-IOV rezervasyonu yok.





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



Default image: Ubuntu 22.04 + CUDA 12.4 + cuDNN 9 + NVIDIA driver 550. Diğer hazır images: Ubuntu 24.04 + CUDA 12.6, Ubuntu 22 + PyTorch 2.5, Ubuntu 22 + ComfyUI + Flux, Ubuntu 22 + Ollama + Open WebUI. Kendi stack’inizi kurmak isterseniz vanilla Ubuntu / Debian / AlmaLinux / Rocky de sunulur.





### 03
Can I run my own AI startup's production inference üzerinde bunlar GPUs?



Evet. GPU müşterilerimizin çoğu vLLM / TGI / FastAPI üzerinde herkese açık çıkarım API'leri çalıştırır. GPU sunucuları tam root, öngörülebilir aylık faturalandırma (token başına sürpriz yok) ve sabit bir yargı bölgesi IP ile gelir. Her GPU planında bant genişliği sınırsızdır; ölçüm veya fazla kullanım ücreti ödemeden yüksek trafikli herkese açık uç noktalar sunabilirsiniz.





### 04
Why olur Rusya excluded başlangıç GPU lokasyonlar?



NVIDIA H100, A100 ve üst seviye RTX kartları (4090 ve üzeri), US Department of Commerce export controls (15 CFR Part 744) ve EU dual-use regulations kapsamındadır; bunlar Russian datacenters’a shipment’ı yasaklar. Tedarik zincirimize uygulanan kontrollerle uyumlu kalmak için bunları Rusya’da provision etmiyoruz. Rusya’da offshore Linux VPS veya Dedicated gerekiyorsa, bu ürün hatları etkilenmez.





### 05
Why olur İzlanda positioned as premium GPU lokasyon?



İzlanda datacenters run üzerinde 100% renewable geothermal ve hydroelectric power, ve cold ambient temperature meaningfully reduces cooling overhead üzerinde H100 boxes şu draw 700W each altında sustained load. end result olur lowest-carbon offshore GPU compute üzerinde market. premium fiyat covers higher datacenter cost içinde İzlanda ve cleaner energy sourcing — için ESG-conscious AI teams, bu olur yalnızca credible offshore yanıt.





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



Evet. GPU-XL tier, tek kutu içinde NVLink interconnect’e sahip 2× H100 SXM5’tir; aynı makinede FSDP / DeepSpeed Zero-3 / DDP için idealdir. Multi-node training için aynı datacenter’da birden fazla GPU-XL server kiralayabilir ve 10 Gbps uplink üzerinden bağlayabilirsiniz. Henüz 8× H100 cluster nodes sunmuyoruz; training run daha fazla ölçek gerektiriyorsa bizimle iletişime geçin.






## Deploy Sizin Offshore GPU Server



Pick sizin jurisdiction, pick sizin NVIDIA GPU, pay içinde any -ın 20 cryptos. Live JupyterLab içinde altında 60 seconds. Yok KYC, yok email, yok telefon — sadece a token.

[GPU Planlarını Görüntüle](#plans)


## Structured data (JSON-LD)

```json
{
    "@context": "https://schema.org",
    "@type": "Organization",
    "@id": "https://servprivate.com/#organization",
    "name": "ServPrivate",
    "alternateName": "ServPrivacy",
    "url": "https://servprivate.com",
    "description": "7 offshore yargı alanında offshore VPS ve dedicated sunucular. KYC yok, log yok, yalnızca kripto. Gizlilik mimariyle sağlanır.",
    "logo": {
        "@type": "ImageObject",
        "url": "https://servprivate.com/ServPrivate.webp",
        "width": 512,
        "height": 512
    },
    "foundingDate": "2025",
    "areaServed": [
        {
            "@type": "Country",
            "name": "Iceland"
        },
        {
            "@type": "Country",
            "name": "Panama"
        },
        {
            "@type": "Country",
            "name": "Moldova"
        },
        {
            "@type": "Country",
            "name": "Romania"
        },
        {
            "@type": "Country",
            "name": "Switzerland"
        },
        {
            "@type": "Country",
            "name": "Netherlands"
        },
        {
            "@type": "Country",
            "name": "Russia"
        }
    ],
    "knowsAbout": [
        "Offshore hosting",
        "Offshore VPS",
        "Bare-metal dedicated servers",
        "DMCA-ignored hosting",
        "No KYC hosting",
        "Cryptocurrency payments",
        "Privacy engineering",
        "Token-based authentication",
        "Anonymous domain name registration",
        "No-KYC domain registrar",
        "WHOIS privacy",
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}
```

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}
```

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            "acceptedAnswer": {
                "@type": "Answer",
                "text": "Evet. GPU müşterilerimizin çoğu vLLM / TGI / FastAPI üzerinde herkese açık çıkarım API'leri çalıştırır. GPU sunucuları tam root, öngörülebilir aylık faturalandırma (token başına sürpriz yok) ve sabit bir yargı bölgesi IP ile gelir. Her GPU planında bant genişliği sınırsızdır; ölçüm veya fazla kullanım ücreti ödemeden yüksek trafikli herkese açık uç noktalar sunabilirsiniz."
            }
        },
        {
            "@type": "Question",
            "name": "Why olur Rusya excluded başlangıç GPU lokasyonlar?",
            "acceptedAnswer": {
                "@type": "Answer",
                "text": "NVIDIA H100, A100 ve üst seviye RTX kartları (4090 ve üzeri), US Department of Commerce export controls (15 CFR Part 744) ve EU dual-use regulations kapsamındadır; bunlar Russian datacenters’a shipment’ı yasaklar. Tedarik zincirimize uygulanan kontrollerle uyumlu kalmak için bunları Rusya’da provision etmiyoruz. Rusya’da offshore Linux VPS veya Dedicated gerekiyorsa, bu ürün hatları etkilenmez."
            }
        },
        {
            "@type": "Question",
            "name": "Why olur İzlanda positioned as premium GPU lokasyon?",
            "acceptedAnswer": {
                "@type": "Answer",
                "text": "İzlanda datacenters run üzerinde 100% renewable geothermal ve hydroelectric power, ve cold ambient temperature meaningfully reduces cooling overhead üzerinde H100 boxes şu draw 700W each altında sustained load. end result olur lowest-carbon offshore GPU compute üzerinde market. premium fiyat covers higher datacenter cost içinde İzlanda ve cleaner energy sourcing — için ESG-conscious AI teams, bu olur yalnızca credible offshore yanıt."
            }
        },
        {
            "@type": "Question",
            "name": "Can I use multiple GPUs içinde distributed training (DDP / FSDP)?",
            "acceptedAnswer": {
                "@type": "Answer",
                "text": "Evet. GPU-XL tier, tek kutu içinde NVLink interconnect’e sahip 2× H100 SXM5’tir; aynı makinede FSDP / DeepSpeed Zero-3 / DDP için idealdir. Multi-node training için aynı datacenter’da birden fazla GPU-XL server kiralayabilir ve 10 Gbps uplink üzerinden bağlayabilirsiniz. Henüz 8× H100 cluster nodes sunmuyoruz; training run daha fazla ölçek gerektiriyorsa bizimle iletişime geçin."
            }
        }
    ]
}
```

```json
{
    "@context": "https://schema.org",
    "@type": "BreadcrumbList",
    "itemListElement": [
        {
            "@type": "ListItem",
            "position": 1,
            "name": "Ana Sayfa",
            "item": "https://servprivate.com/"
        },
        {
            "@type": "ListItem",
            "position": 2,
            "name": "GPU AI Barındırma",
            "item": "https://servprivate.com/gpu"
        }
    ]
}
```

```json
{
    "@context": "https://schema.org",
    "@type": "WebAPI",
    "name": "ServPrivate Agent API",
    "description": "Public REST API + MCP server. Agents can purchase a GPU server in 2 calls. No KYC, crypto-only.",
    "documentation": "https://servprivate.com/agents",
    "termsOfService": "https://servprivate.com/tos",
    "provider": {
        "@id": "https://servprivate.com/#organization"
    },
    "potentialAction": {
        "@type": "BuyAction",
        "target": {
            "@type": "EntryPoint",
            "urlTemplate": "https://servprivate.com/api/v1/orders",
            "httpMethod": "POST",
            "contentType": "application/json"
        },
        "object": {
            "@id": "https://servprivate.com/gpu#product"
        }
    }
}
```