Ollama Hosting, Deploy Your own AI Chatbot with Ollama

Ollama is a self-hosted AI solution to run open-source large language models, such as Gemma, Llama 2, Mistral, and other LLMs locally or on your own infrastructure. GPUMart provides a list of the best budget GPU servers for Ollama to ensure you can get the most out of this great application.

Choose Your Ollama Hosting Plans

GPUMart 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.

Advanced GPU - RTX 3060 Ti

179.00/m
1m3m12m24m
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  • 128GB RAM
  • Dual 12-Core E5-2697v2report
  • 240GB SSD + 2TB SSD
  • 100Mbps-1Gbpsreport
  • OS: Windows / Linux
  • GPU: GeForce RTX 3060 Ti
  • Microarchitecture: Ampere
  • Max GPUs: 2report
  • CUDA Cores: 4864
  • Tensor Cores: 152
  • GPU Memory: 8GB GDDR6
  • FP32 Performance: 16.2 TFLOPSreport
  • Contact us to make a reservation

Basic GPU - RTX 4060

149.00/m
1m3m12m24m
  • 64GB RAM
  • Eight-Core E5-2690report
  • 120GB SSD + 960GB SSD
  • 100Mbps-1Gbpsreport
  • OS: Windows / Linux
  • GPU: Nvidia GeForece RTX 4060
  • Microarchitecture: Ada Lovelace
  • Max GPUs: 2report
  • CUDA Cores: 3072
  • Tensor Cores: 96
  • GPU Memory: 8GB GDDR6
  • FP32 Performance: 15.11 TFLOPSreport
  • Contact us to make a reservation

Advanced GPU - A4000

209.00/m
1m3m12m24m
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  • 128GB RAM
  • Dual 12-Core E5-2697v2report
  • 240GB SSD + 2TB SSD
  • 100Mbps-1Gbpsreport
  • OS: Windows / Linux
  • GPU: Nvidia Quadro RTX A4000
  • Microarchitecture: Ampere
  • Max GPUs: 2report
  • CUDA Cores: 6144
  • Tensor Cores: 192
  • GPU Memory: 16GB GDDR6
  • FP32 Performance: 19.2 TFLOPSreport

Advanced GPU - V100

229.00/m
1m3m12m24m
  • 128GB RAM
  • Dual 12-Core E5-2690v3report
  • 240GB SSD + 2TB SSD
  • 100Mbps-1Gbpsreport
  • OS: Windows / Linux
  • GPU: Nvidia V100
  • Microarchitecture: Volta
  • Max GPUs: 1
  • CUDA Cores: 5,120
  • Tensor Cores: 640
  • GPU Memory: 16GB HBM2
  • FP32 Performance: 14 TFLOPSreport

Advanced GPU - A5000

269.00/m
1m3m12m24m
  • 128GB RAM
  • Dual 12-Core E5-2697v2report
  • 240GB SSD + 2TB SSD
  • 100Mbps-1Gbpsreport
  • OS: Windows / Linux
  • GPU: Nvidia Quadro RTX A5000
  • Microarchitecture: Ampere
  • Max GPUs: 2report
  • CUDA Cores: 8192
  • Tensor Cores: 256
  • GPU Memory: 24GB GDDR6
  • FP32 Performance: 27.8 TFLOPSreport
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Multi-GPU - 3xRTX 3060 Ti

369.00/m
1m3m12m24m
  • 256GB RAM
  • Dual 18-Core E5-2697v4report
  • 240GB SSD + 2TB NVMe + 8TB SATA
  • 100Mbps-1Gbpsreport
  • OS: Windows / Linux
  • GPU: 3 x GeForce RTX 3060 Ti
  • Microarchitecture: Ampere
  • Max GPUs: 3report
  • CUDA Cores: 4864
  • Tensor Cores: 152
  • GPU Memory: 8GB GDDR6
  • FP32 Performance: 16.2 TFLOPSreport

Enterprise GPU - RTX A6000

409.00/m
1m3m12m24m
  • 256GB RAM
  • Dual 18-Core E5-2697v4report
  • 240GB SSD + 2TB NVMe + 8TB SATA
  • 100Mbps-1Gbpsreport
  • OS: Windows / Linux
  • GPU: Nvidia Quadro RTX A6000
  • Microarchitecture: Ampere
  • Max GPUs: 1
  • CUDA Cores: 10,752
  • Tensor Cores: 336
  • GPU Memory: 48GB GDDR6
  • FP32 Performance: 38.71 TFLOPSreport
  • Contact us to make a reservation

Enterprise GPU - A40

439.00/m
1m3m12m24m
  • 256GB RAM
  • Dual 18-Core E5-2697v4report
  • 240GB SSD + 2TB NVMe + 8TB SATA
  • 100Mbps-1Gbpsreport
  • OS: Windows / Linux
  • GPU: Nvidia A40
  • Microarchitecture: Ampere
  • Max GPUs: 1
  • CUDA Cores: 10,752
  • Tensor Cores: 336
  • GPU Memory: 48GB GDDR6
  • FP32 Performance: 37.48 TFLOPSreport
New Arrival

Enterprise GPU - A100

639.00/m
1m3m12m24m
  • 256GB RAM
  • Dual 18-Core E5-2697v4report
  • 240GB SSD + 2TB NVMe + 8TB SATA
  • 100Mbps-1Gbpsreport
  • OS: Windows / Linux
  • GPU: Nvidia A100
  • Microarchitecture: Ampere
  • Max GPUs: 1
  • CUDA Cores: 6912
  • Tensor Cores: 432
  • GPU Memory: 40GB HBM2e
  • FP32 Performance: 19.5 TFLOPSreport
New Arrival

Multi-GPU - 3xRTX A6000

899.00/m
1m3m12m24m
  • 256GB RAM
  • Dual 18-Core E5-2697v4report
  • 240GB SSD + 2TB NVMe + 8TB SATA
  • 100Mbps-1Gbpsreport
  • OS: Windows / Linux
  • GPU: 3 x Quadro RTX A6000
  • Microarchitecture: Ampere
  • Max GPUs: 3report
  • CUDA Cores: 10,752
  • Tensor Cores: 336
  • GPU Memory: 48GB GDDR6
  • FP32 Performance: 38.71 TFLOPSreport
New Arrival

Multi-GPU - 4xA100

1899.00/m
1m3m12m24m
  • 512GB RAM
  • Dual 22-Core E5-2699v4report
  • 240GB SSD + 4TB NVMe + 16TB SATA
  • 100Mbps-1Gbpsreport
  • OS: Windows / Linux
  • GPU: 4 x Nvidia A100 with NVLink
  • Microarchitecture: Ampere
  • Max GPUs: 4
  • CUDA Cores: 6912
  • Tensor Cores: 432
  • GPU Memory: 40GB HBM2e
  • FP32 Performance: 19.5 TFLOPSreport

6 Reasons to Choose our Ollama Hosting

GPUMart enables powerful GPU hosting features on raw bare metal hardware, served on-demand. No more inefficiency, noisy neighbors, or complex pricing calculators.
Intel Xeon CPU

NVIDIA GPU

Rich Nvidia graphics card types, up to 48GB VRAM, powerful CUDA performance. There are also multi-card servers for you to choose from.
SSD-Based Drives

SSD-Based Drives

You can never go wrong with our own top-notch dedicated GPU servers for Ollama, loaded with the latest Intel Xeon processors, terabytes of SSD disk space, and up to 256 GB of RAM per server.
Full Root/Admin Access

Full Root/Admin Access

With full root/admin access, you will be able to take full control of your dedicated GPU servers for Ollama very easily and quickly.
99.9% Uptime Guarantee

99.9% Uptime Guarantee

With enterprise-class data centers and infrastructure, we provide a 99.9% uptime guarantee for Ollama hosting service.
Dedicated IP

Dedicated IP

One of the premium features is the dedicated IP address. Even the cheapest GPU hosting plan is fully packed with dedicated IPv4 & IPv6 Internet protocols.
24/7/365 Technical Support

24/7/365 Technical Support

GPUMart provides round-the-clock technical support to help you resolve any issues related to Ollama hosting.

Advantages of Ollama over ChatGPT

Ollama is an open-source platform that allows users to run large language models locally. It offers several advantages over ChatGPT
check_circleCustomization
Ollama enables users to create and customize their own models, which is not possible with ChatGPT, which is a closed product accessible only through an API provided by OpenAI.
check_circleEfficiency
Ollama is designed to be more efficient and less resource-intensive than other models, which means it requires less computational power to run. This makes it more accessible to users who may not have access to high-performance computing resources.
check_circleCost
As a self-hosted alternative to ChatGPT, Ollama is freely available, while ChatGPT may incur costs for certain versions or usage.
check_circleFlexibility
Ollama allows for running multiple models in parallel, providing customization and integration, which can be useful for tasks like autogen and other applications.
check_circleSecurity and Privacy
All components necessary for OLlama to operate, including the LLMs, are installed within your designated server. This ensures that your data remains secure and private, with no sharing or collection of information outside of your hosting environment.
check_circleSimplicity and Accessibility
Ollama is renowned for its straightforward setup process, making it accessible even to those with limited technical expertise in machine learning. This ease of use opens up opportunities for a wider range of users to experiment with and leverage LLMs.

5 Key Features of Ollama

Ollama's ease of use, flexibility, and powerful LLMs make it accessible to a wide range of users.

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 applications of LLMs. You can use it for text generation, language translation, creative writing, and more.

Powerful LLMs

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.

Community Support

Ollama actively participates in the LLM community, providing documentation, tutorials, and open-source code to facilitate collaboration and knowledge sharing.

How to Run LLMs Locally with Ollama AI

Deploy Ollama on bare-metal server with a dedicated GPU or Multi-GPU in 10 minutes. We will go through How to Install and Use Ollama AI on Linux step-by-step.
step1
Order and Login GPU Server
step2
Install Ollama AI
step3
Download a LLM Model
step4
Chat with the Model

FAQs of Ollama Hosting

The most commonly asked questions about Ollama hosting service below.

What is Ollama?

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Ollama is a platform designed to run open-source large language models (LLMs) locally on your machine. It supports a variety of models, including Llama 2, Code Llama, and others, and it bundles model weights, configuration, and data into a single package, defined by a Modelfile. Ollama is an extensible platform that enables the creation, import, and use of custom or pre-existing language models for a variety of applications.

Where can I find the Ollama GitHub repository?

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The Ollama GitHub repository is the hub for all things related to Ollama. You can find source code, documentation, and community discussions by searching for Ollama on GitHub or following this link (https://github.com/ollama/ollama).

How do I use the Ollama Docker image?

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Using the Ollama Docker image (https://hub.docker.com/r/ollama/ollama) is a straightforward process. Once you've installed Docker, you can pull the Ollama image and run it using simple shell commands. Detailed steps can be found in Section 2 of this article.

Is Ollama compatible with Windows?

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Yes, Ollama offers cross-platform support, including Windows 10 or later. You can download the Windows executable from Ollama download page (https://ollama.com/download/windows) or the GitHub repository and follow the installation instructions.

Can Ollama leverage GPU for better performance?

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Yes, Ollama can utilize GPU acceleration to speed up model inference. This is particularly useful for computationally intensive tasks.

What is Ollama-UI and how does it enhance the user experience?

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Ollama-UI is a graphical user interface that makes it even easier to manage your local language models. It offers a user-friendly way to run, stop, and manage models. Ollama has many good open source chat UIs, such as chatbot UI, Open WebUI, etc.

How does Ollama integrate with LangChain?

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Ollama and LangChain can be used together to create powerful language model applications. LangChain provides the language models, while Ollama offers the platform to run them locally.