NVIDIA GPU
Rich Nvidia graphics card types, up to 80GB VRAM, powerful CUDA performance. There are also multi-card servers for you to choose from.
Phi Hosting, Host Your Phi-4/3/2 with Ollama
Phi is a family of lightweight 3B (Mini) and 14B (Medium) state-of-the-art open models by Microsoft. You can deploy your own Phi-4/3/2 with Ollama.
Choose Your Phi Hosting Plans
DatabaseMart offers best budget GPU servers for Phi-4, Phi-3 and Phi-2. Cost-effective dedicated GPU servers are ideal for hosting your own LLMs online.
Flash Sale to Mar.16
Professional GPU VPS - A4000
$ 102.00/mo
43% OFF Recurring (Was $179.00)
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Order Now- 32GB RAM
- 24 CPU Cores
- 320GB SSD
- 300Mbps Unmetered Bandwidth
- Once per 2 Weeks Backup
- OS: Linux / Windows 10
- Dedicated GPU: Quadro RTX A4000
- CUDA Cores: 6,144
- Tensor Cores: 192
- GPU Memory: 16GB GDDR6
- FP32 Performance: 19.2 TFLOPS
- Available for Rendering, AI/Deep Learning, Data Science, CAD/CGI/DCC.
Flash Sale to Mar.16
Express GPU Dedicated Server - P1000
$ 37.00/mo
50% OFF Recurring (Was $74.00)
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Order Now- 32GB RAM
- Eight-Core Xeon E5-2690
- 120GB + 960GB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: Nvidia Quadro P1000
- Microarchitecture: Pascal
- CUDA Cores: 640
- GPU Memory: 4GB GDDR5
- FP32 Performance: 1.894 TFLOPS
Flash Sale to Mar.16
Basic GPU Dedicated Server - GTX 1650
$ 76.00/mo
36% OFF Recurring (Was $119.00)
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Order Now- 64GB RAM
- Eight-Core Xeon E5-2667v3
- 120GB + 960GB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: Nvidia GeForce GTX 1650
- Microarchitecture: Turing
- CUDA Cores: 896
- GPU Memory: 4GB GDDR5
- FP32 Performance: 3.0 TFLOPS
Basic GPU Dedicated Server - GTX 1660
$ 139.00/mo
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Order Now- 64GB RAM
- Dual 10-Core Xeon E5-2660v2
- 120GB + 960GB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: Nvidia GeForce GTX 1660
- Microarchitecture: Turing
- CUDA Cores: 1408
- GPU Memory: 6GB GDDR6
- FP32 Performance: 5.0 TFLOPS
Advanced GPU Dedicated Server - RTX 3060 Ti
$ 179.00/mo
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Order Now- 128GB RAM
- Dual 12-Core E5-2697v2
- 240GB SSD + 2TB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: GeForce RTX 3060 Ti
- Microarchitecture: Ampere
- CUDA Cores: 4864
- Tensor Cores: 152
- GPU Memory: 8GB GDDR6
- FP32 Performance: 16.2 TFLOPS
Advanced GPU Dedicated Server - V100
$ 229.00/mo
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Order Now- 128GB RAM
- Dual 12-Core E5-2690v3
- 240GB SSD + 2TB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: Nvidia V100
- Microarchitecture: Volta
- CUDA Cores: 5,120
- Tensor Cores: 640
- GPU Memory: 16GB HBM2
- FP32 Performance: 14 TFLOPS
- Cost-effective for AI, deep learning, data visualization, HPC, etc
Enterprise GPU Dedicated Server - RTX 4090
$ 409.00/mo
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Order Now- 256GB RAM
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- OS: Windows / Linux
- GPU: GeForce RTX 4090
- Microarchitecture: Ada Lovelace
- CUDA Cores: 16,384
- Tensor Cores: 512
- GPU Memory: 24 GB GDDR6X
- FP32 Performance: 82.6 TFLOPS
- Perfect for 3D rendering/modeling , CAD/ professional design, video editing, gaming, HPC, AI/deep learning.
Enterprise GPU Dedicated Server - A100
$ 639.00/mo
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Order Now- 256GB RAM
- Dual 18-Core E5-2697v4
- 240GB SSD + 2TB NVMe + 8TB SATA
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: Nvidia A100
- Microarchitecture: Ampere
- CUDA Cores: 6912
- Tensor Cores: 432
- GPU Memory: 40GB HBM2
- FP32 Performance: 19.5 TFLOPS
- Good alternativeto A800, H100, H800, L40. Support FP64 precision computation, large-scale inference/AI training/ML.etc
More GPU Server Instance Pricingarrow_circle_right
6 Reasons to Choose our GPU Servers for Phi 4/3/2 Hosting
DatabaseMart enables powerful GPU hosting features on raw bare metal hardware, served on-demand. No more inefficiency, noisy neighbors, or complex pricing calculators.
SSD-Based Drives
You can never go wrong with our own top-notch dedicated GPU servers, loaded with the latest Intel Xeon processors, terabytes of SSD disk space, and 256 GB of RAM per server.
Full Root/Admin Access
With full root/admin access, you will be able to take full control of your dedicated GPU servers very easily and quickly.
99.9% Uptime Guarantee
With enterprise-class data centers and infrastructure, we provide a 99.9% uptime guarantee for DeepSeek-R1 hosting service.
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
We provides round-the-clock technical support to help you resolve any issues related to DeepSeek hosting.
Phi-4 vs Qwen2.5 vs Gemma2 vs Llama3: Benchmark Performance
Phi-4 is an advanced AI language model developed by Microsoft as part of their Phi series. These models are known for being small yet highly efficient, achieving near GPT-4 levels of performance despite being much smaller in size.
Key Features of Phi-4
The model underwent a rigorous enhancement and alignment process, incorporating both supervised fine-tuning and direct preference optimization to ensure precise instruction adherence and robust safety measures.
Compact and Efficient
Unlike massive models like GPT-4, Phi-4 is designed to be more efficient, making it suitable for on-device AI and low-resource environments.
High Performance
Despite its smaller size, it reportedly performs well on reasoning, coding, and general language understanding tasks.
Trained on High-Quality Data
Microsoft emphasizes "textbook-quality" data curation, which helps Phi models punch above their weight.
Potential for Local AI
Given its efficiency, Phi-4 could be a strong candidate for edge computing and AI applications that don't rely on cloud-based processing.
How to Run Phi 4/3/2 LLMs with Ollama
Let's go through Get up and running with DeepSeek, Llama, Gemma, and other LLMs with Ollama step-by-step.
Order and Login GPU Server
Download and Install Ollama
Run Phi-4/3/2 with Ollama
Chat with Phi-4/3/2
Sample Command line
# install Ollama on Linux curl -fsSL https://ollama.com/install.sh | sh # on GPU VPS - A4000 16GB, V100 or higher plans, you can run Phi-4 14b ollama run phi4 ollama run phi3:14b # on dedicated server - P1000, GTX 1650 and higher plans, you can run Phi-3 3.8b and Phi-2 2.7b ollama run phi3:3.8b ollama run phi
FAQs of Phi Hosting
Here are some Frequently Asked Questions about Phi-4/3/2.
What is the Phi series?
The Phi series is a family of small, efficient language models developed by Microsoft, designed to achieve high performance with a relatively small model size compared to models like GPT-4 or Llama 3.
What is Phi-4?
Phi-4 is a 14B parameter, state-of-the-art open model built upon a blend of synthetic datasets, data from filtered public domain websites, and acquired academic books and Q&A datasets. It's the latest model in the Phi series, expected to improve performance while maintaining efficiency.
Can Phi-4 run on local devices?
Possibly, depending on the specific variant. Some Phi models are optimized for on-device AI, while larger ones require cloud inference.
What is special about the Phi models?
Efficiency: They deliver strong reasoning, coding, and general understanding with fewer parameters.
Training Data: They use high-quality "textbook-like" datasets rather than just internet-scale crawling.
On-Device Potential: Some versions are small enough to run locally, making them suitable for mobile, IoT, and edge AI applications.
Training Data: They use high-quality "textbook-like" datasets rather than just internet-scale crawling.
On-Device Potential: Some versions are small enough to run locally, making them suitable for mobile, IoT, and edge AI applications.