A physical server with an NVIDIA RTX 3060 Ti that belongs to you alone. Fine-tune open-source language models on your own data and run your own chatbot. We help you with the first setup and your first training run, free of charge.
Limited stock: 1 unit(s) of this configuration currently available. Setup is not automatic: our team prepares the server by hand after payment.
No virtualisation: all of the hardware is yours alone. The full 8 GB of GPU memory is available for your own workloads.
Prices are in US dollars (USD). One-time setup fee: $39.98
8 GB of VRAM is a solid starting point for most open-source AI tools. Here is what you can realistically do on this card.
Train open 7–8B models such as Llama 3.1 8B, Qwen 2.5 7B or Mistral 7B on your own data with LoRA / QLoRA. With 8 GB of memory, models of this size need 4-bit QLoRA, a small batch size and a sensible context length.
Load your company documents, FAQs or product catalogue into a vector database and let the model answer questions based on them. It is the quickest way to build an assistant that knows your data, without training a model at all.
Generate images with Stable Diffusion 1.5 and SDXL, using ComfyUI or AUTOMATIC1111 right in your browser. SDXL runs in 8 GB, though some workflows need memory-saving settings.
Turn meeting, lecture or podcast recordings into text with Whisper (or faster-whisper). It supports many languages, and long recordings are processed far faster on the GPU than on a CPU.
Run models with a single Ollama command, or serve them as an OpenAI-compatible API with vLLM. Your website, app or n8n workflows can then call that API. For 8 GB of memory, quantised 7–8B models are the right fit.
For most people renting a GPU server for the first time, the hardest part is installing the drivers and getting the first model running. We do that step together with you. Here are the exact limits of the offer, up front:
The card has 8 GB of VRAM. That is enough to fine-tune models of up to roughly 8 billion parameters (such as Llama 3.1 8B, Qwen 2.5 7B or Mistral 7B) with 4-bit QLoRA; small 1–3B models have more headroom. Training 13B, 70B or larger models is not possible on this card.
No. Models on the scale of ChatGPT need far more GPU memory. This server is a good fit for open models of 7–8 billion parameters, which are often enough for a chatbot focused on a specific topic, set of documents or product.
We give one-time free help with your first fine-tuning run or first model setup: installing the NVIDIA driver and CUDA, preparing the training environment and starting the first training run together with you. You provide the training data. Later training runs, ongoing consulting and application development are not included.
No. The graphics card, CPU, RAM and disk are in a physical server reserved for you alone. It is not a virtualised or partitioned GPU; all of the card's memory is yours.
This server is not set up automatically; our team prepares it by hand once your payment is confirmed. When setup is complete, your access details are sent to your client area and by email. Stock is limited, so feel free to message us with any questions before you order.
Current prices: $89.09 per month, $253.90 per 3 months, $898.00 per year. A one-time setup fee of $39.98 is added to your first order. Prices are in US dollars (USD).
We currently accept cryptocurrency: USDT (TRC20). Bitcoin, credit card and bank transfer options are coming soon.
For hosting services (VPS, VDS, game servers, hosting, VPN, IP, etc.), if you ask within 3 days (72 hours) of the first purchase, we refund the full amount you paid without asking why; the refund goes to your payment method or your account balance. Domain fees and renewal payments are not covered. You can request cancellation from the service's page in the client area, either at the end of the billing period or immediately. See the Refund Policy for details.
GPU Dedi · RTX 3060 Ti · From $89.09 / mo. Limited stock; setup is done by hand after payment.
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