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B2BHOSTINGCLUB offers best budget GPU servers for Ollama. Cost-effective Ollama hosting is ideal to deploy your own AI Chatbot. Note: You should have at least 8 GB of VRAM (GPU Memory) available to run the 7B models, 16 GB to run the 13B models, 32 GB to run the 33B models, 64 GB to run the 70B models.
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If you're running models on the Ollama platform, selecting the right NVIDIA GPU is crucial for performance and cost-effectiveness.
|
Model Name
|
Params
|
Model Size
|
Recommended GPU cards
|
|---|---|---|---|
| DeepSeek R1 | 7B | 4.7GB | GTX 1660 6GB or higher |
| DeepSeek R1 | 8B | 4.9GB | GTX 1660 6GB or higher |
| DeepSeek R1 | 14B | 9.0GB | RTX A4000 16GB or higher |
| DeepSeek R1 | 32B | 20GB | RTX 4090, RTX A5000 24GB, A100 40GB |
| DeepSeek R1 | 70B | 43GB | RTX A6000, A40 48GB |
| DeepSeek R1 | 671B | 404GB | Not supported yet |
| Deepseek-coder-v2 | 16B | 8.9GB | RTX A4000 16GB or higher |
| Deepseek-coder-v2 | 236B | 133GB | 2xA100 80GB, 4xA100 40GB |
| Model Name | Params | Model Size | Recommended GPU cards |
|---|---|---|---|
| Qwen2.5 | 7B | 4.7GB | GTX 1660 6GB or higher |
| Qwen2.5 | 14B | 9GB | RTX A4000 16GB or higher |
| Qwen2.5 | 32B | 20GB | RTX 4090 24GB, RTX A5000 24GB |
| Qwen2.5 | 72B | 47GB | A100 80GB, H100 |
| Qwen2.5 | 14B | 9.0GB | RTX A4000 16GB or higher |
| Qwen2.5 | 32B | 20GB | RTX 4090 24GB, RTX A5000 24GB or higher |
| Model Name | Params | Model Size | Recommended GPU cards |
|---|---|---|---|
| Llama 3.3 | 70B | 43GB | A6000 48GB, A40 48GB, or higher |
| Llama 3.1 | 8B | 4.9GB | GTX 1660 6GB or higher |
| Llama 3.1 | 70B | 43GB | A6000 48GB, A40 48GB, or higher |
| Llama 3.1 | 405B | 243GB | 4xA100 80GB, or higher |
| Model Name | Params | Model Size | Recommended GPU cards |
|---|---|---|---|
| Qwen2.5 | 9B | 5.4GB | RTX 3060 Ti 8GB or higher |
| Qwen2.5 | 27B | 16GB | RTX 4090, A5000 or higher |
| Model Name | Params | Model Size | Recommended GPU cards |
|---|---|---|---|
| Qwen2.5 | 14B | 9.1GB | RTX A4000 16GB or higher |
| Qwen2.5 | 14B | 7.9GB | RTX A4000 16GB or higher |
Ollama's ease of use, flexibility, and powerful LLMs make it accessible to a wide range of users.
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.
Ollama offers a versatile platform for exploring various applications of LLMs. You can use it for text generation, language translation, creative writing, and more.
Ollama includes pre-trained LLMs like Llama 2, renowned for its large size and capabilities. It also supports training custom LLMs tailored to your specific needs.
Ollama actively participates in the LLM community, providing documentation, tutorials, and open-source code to facilitate collaboration and knowledge sharing.
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