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.

  • Windows or Linux OS
  • Full Root/Admin Access
  • Support RDP/SSH Access
  • Free 24/7/365 Expert Online Support
  • Servers Delivered within 20 to 40 Minutes

Choose Your Phi Hosting Plans

Infotronics 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.

Professional GPU VPS - A4000


  • 32GB RAM
  • 24 CPU Cores
  • 320GB SSD
  • 300Mbps Unmetered
         Bandwidth


    • Once per 2 Weeks Backup
    OS: Linux / Windows 10/
        Windows 11
    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.

    Express GPU Dedicated Server - P1000

  • 32GB RAM
  • Eight-Core Xeon E5-2690v2
        (8 Cores & 16 Threads)
  • 120GB + 960GB SSD
  • 100Mbps-1Gbps




    • OS: Linux/Windows
    GPU: Nvidia Quadro P1000

  • Microarchitecture: Pascal
  • CUDA Cores: 640
  • GPU Memory: 4GB GDDR5
  • FP32 Performance: 1.894
        TFLOPS





    • Basic GPU Dedicated Server - GTX 1650 Ti

  • 64GB RAM
  • Eight-Core Xeon E5-2667v3
        (8 Cores & 16 Threads)
  • 120GB SSD + 960GB SSD
  • 100Mbps-1Gbps




    • OS: Linux / Windows
    GPU: Nvidia GeForce GTX 1650 Ti

  • Microarchitecture: Turing
  • CUDA Cores: 896
  • GPU Memory: 4GB GDDR5
  • FP32 Performance: 3.0
        TFLOPS





    • Basic GPU Dedicated Server - GTX 1660

  • 64GB RAM
  • Dual 10-Core Xeon E5-2660v2
         (20 Cores & 40 Threads)
  • 120GB SSD + 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

  • 128GB RAM
  • Dual 12-Core E5-2697v2
        (24 Cores & 48 Threads)
  • 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

  • 128GB RAM
  • Dual 12-Core E5-2690v3
        (24 Cores & 48 Threads)
  • 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

  • 256GB RAM
  • Dual 18-Core E5-2697v4
        (36 Cores & 72 Threads)
  • 240GB SSD + 2TB NVMe + 8TB
        SATA
  • 100Mbps-1Gbps


    • OS: Windows / Linux
    GPU: GeForce RTX 4090

  • Microarchitecture: Ada Lovelace
  • CUDA Cores: 16,384
  • Tensor Cores: 512
  • GPU Memory: 24GB 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

  • 256GB RAM
  • Dual 18-Core E5-2697v4
        (36 Cores & 72 Threads)
  • 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 Hosting Plans

    6 Reasons to Choose our GPU Servers for Phi 4/3/2 Hosting

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

    NVIDIA GPU

    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.


    SSD-Based Drives

    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

    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

    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

    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

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


    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

    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

    High Performance

    Despite its smaller size, it reportedly performs well on reasoning, coding, and general language understanding tasks.

    Trained on High-Quality Data

    Trained on High-Quality Data

    Microsoft emphasizes "textbook-quality" data curation, which helps Phi models punch above their weight.

    Potential for Local AI

    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



    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.
    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.
    Possibly, depending on the specific variant. Some Phi models are optimized for on-device AI, while larger ones require cloud inference.
    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.

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