Optimized GPU Hosting to Run Your Ollama AI Chatbots
Set up your own Ollama server on dedicated GPU hardware for private AI hosting. Deploy DeepSeek, Llama, Mistral, Gemma and more in as fast as 10 minutes — full root access, no cloud markup.
Choose Your GPU Server for Ollama
Database Mart offers best-budget GPU servers for LLM hosting and AI hosting.
Advanced Dedicated GPU Server - V100
- GPU Model: V100
- CPU: 24-Core Dual E5-2690v3
- Memory: 128GB RAM
- Disk: 240GB SSD+2TB SSD
- Bandwidth: 100Mbps Unmetered
- IP: 1 Dedicated IPv4
- Location: USA
Advanced Dedicated GPU Server - RTX A4000
- GPU Model: RTX A4000
- CPU: 24-Core Dual E5-2697v2
- Memory: 128GB RAM
- Disk: 240GB SSD+2TB SSD
- Bandwidth: 100Mbps Unmetered
- IP: 1 Dedicated IPv4
- Location: USA
Advanced Dedicated GPU Server - RTX A5000
- GPU Model: RTX A5000
- CPU: 24-Core Dual E5-2697v2
- Memory: 128GB RAM
- Disk: 240GB SSD+2TB SSD
- Bandwidth: 100Mbps Unmetered
- IP: 1 Dedicated IPv4
- Location: USA
Enterprise Dedicated GPU Server - RTX 4090
- GPU Model: RTX 4090
- CPU: 36-Core Dual E5-2697v4
- Memory: 256GB RAM
- Disk: 240GB SSD+2TB NVMe+8TB SATA
- Bandwidth: 100Mbps Unmetered
- IP: 1 Dedicated IPv4
- Location: USA
Enterprise Dedicated GPU Server - RTX 5090
- GPU Model: RTX 5090
- CPU: 36-Core Dual E5-2697v4
- Memory: 256GB RAM
- Disk: 240GB SSD+2TB NVMe+8TB SATA
- Bandwidth: 100Mbps Unmetered
- IP: 1 Dedicated IPv4
- Location: USA
Enterprise Dedicated GPU Server - RTX A6000
- GPU Model: RTX A6000
- CPU: 36-Core Dual E5-2697v4
- Memory: 256GB RAM
- Disk: 240GB SSD+2TB NVMe+8TB SATA
- Bandwidth: 100Mbps Unmetered
- IP: 1 Dedicated IPv4
- Location: USA
Enterprise Dedicated GPU Server - A100
- GPU Model: A100
- CPU: 36-Core Dual E5-2697v4
- Memory: 256GB RAM
- Disk: 240GB SSD+2TB NVMe+8TB SATA
- Bandwidth: 100Mbps Unmetered
- IP: 1 Dedicated IPv4
- Location: USA
Enterprise Dedicated GPU Server - A100(80GB)
- GPU Model: A100(80GB)
- CPU: 36-Core Dual E5-2697v4
- Memory: 256GB RAM
- Disk: 240GB SSD+2TB NVMe+8TB SATA
- Bandwidth: 100Mbps Unmetered
- IP: 1 Dedicated IPv4
- Location: USA
Popular LLMs and GPU Recommendations
Selecting the right NVIDIA GPU is crucial for performance. Use this guide to match your model to the ideal Ollama GPU server.
| Model Name | Params | Model Size | Recommended GPU |
|---|---|---|---|
| DeepSeek R1 | 7B | 4.7 GB | GTX 1660 6GB+ |
| DeepSeek R1 | 8B | 4.9 GB | GTX 1660 6GB+ |
| DeepSeek R1 | 14B | 9.0 GB | RTX A4000 16GB+ |
| DeepSeek R1 | 32B | 20 GB | RTX 4090 / A5000 24GB / A100 40GB |
| DeepSeek R1 | 70B | 43 GB | RTX A6000 / A40 48GB |
| DeepSeek R1 | 671B | 404 GB | Not supported yet |
| DeepSeek Coder v2 | 16B | 8.9 GB | RTX A4000 16GB+ |
| DeepSeek Coder v2 | 236B | 133 GB | 2×A100 80GB / 4×A100 40GB |
| Model Name | Params | Model Size | Recommended GPU |
|---|---|---|---|
| Qwen2.5 | 7B | 4.7 GB | GTX 1660 6GB+ |
| Qwen2.5 | 14B | 9 GB | RTX A4000 16GB+ |
| Qwen2.5 | 32B | 20 GB | RTX 4090 / A5000 24GB |
| Qwen2.5 | 72B | 47 GB | A100 80GB / H100 |
| Qwen 2.5 Coder | 14B | 9.0 GB | RTX A4000 16GB+ |
| Qwen 2.5 Coder | 32B | 20 GB | RTX 4090 / A5000 24GB+ |
| Model Version | Params | Model Size | Recommended GPU |
|---|---|---|---|
| Llama 3.3 | 70B | 43 GB | A6000 48GB / A40 48GB+ |
| Llama 3.1 | 8B | 4.9 GB | GTX 1660 6GB+ |
| Llama 3.1 | 70B | 43 GB | A6000 48GB / A40 48GB+ |
| Llama 3.1 | 405B | 243 GB | 4×A100 80GB+ |
| Model Name | Params | Model Size | Recommended GPU |
|---|---|---|---|
| Gemma 2 | 9B | 5.4 GB | RTX 3060 Ti 8GB+ |
| Gemma 2 | 27B | 16 GB | RTX 4090 / A5000+ |
| Model Name | Params | Model Size | Recommended GPU |
|---|---|---|---|
| Phi-4 | 14B | 9.1 GB | RTX A4000 16GB+ |
| Phi-3 | 14B | 7.9 GB | RTX A4000 16GB+ |
How to Run LLMs Locally with Ollama AI
Deploy Ollama on a bare-metal server with a dedicated or multi-GPU setup in just 10 minutes at Database Mart.
Order a GPU Server
Click Order Now. On the order page, select the pre-installed Ollama OS image for automatic setup. Alternatively, choose a standard OS and manually install Ollama after deployment.
Install Ollama AI
If you selected a standard OS, remotely log in to your GPU server and install the latest version of Ollama from the official website. Installation steps are the same as a local deployment.
Download an LLM Model
Choose and download a pre-trained LLM model compatible with Ollama based on your needs.
Chat with the Model
Start interacting with your model directly from the terminal or via Ollama's API for integration into applications.
4 Core Features of Ollama Hosting
Ollama's ease of use, flexibility, and powerful LLMs make it accessible to a wide range of users and use cases.
Ease of Use
Ollama's simple API makes it straightforward to load, run, and interact with LLMs. You can quickly get started with basic tasks without extensive coding knowledge.
Flexibility
Ollama offers a versatile platform for exploring various LLM applications. Use it for text generation, language translation, creative writing, coding assistance, and more.
Powerful LLMs
Ollama includes pre-trained LLMs like Llama, DeepSeek, and Mistral, renowned for their large size and capabilities. It also supports training custom LLMs tailored to your needs.
Community Support
Ollama actively participates in the LLM community, providing documentation, tutorials, and open-source code to facilitate collaboration and knowledge sharing.
Deploy, Customize & Optimize Ollama
Leverage our high-performance GPU servers to run Ollama at scale. Whether you're fine-tuning models, building RAG apps, or integrating via API — we've got a guide for you.
Ollama GPU Benchmarks – Model Performance
We've benchmarked LLMs on GPUs including P1000, T1000, GTX 1660, RTX 4060, RTX 2060, RTX 3060 Ti, A4000, V100, A5000, RTX 4090, A40, A6000, A100 40GB, Dual A100, and H100.
FAQs of Ollama Hosting
The most commonly asked questions about Ollama hosting service.
Deploy Your Own AI Chatbot
with Ollama in 10 Minutes
Self-host LLMs like DeepSeek, Llama 3, and Mistral on our bare-metal GPU servers. Full control, no cloud markups, free 24/7 expert support.