Gemma 2 Hosting, Host Your
Gemma2 with Ollama

Google Gemma 2 is a high-performing and efficient model available in three sizes: 2B, 9B, and 27B. Find the most optimal way to host your own Gemma LLM on our cheap GPU servers.

  • 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 Gemma 2 Hosting Plans

Infotronics offers best budget GPU servers for Gemma 2. Cost-effective dedicated GPU servers are ideal for hosting your own LLMs online.

Express GPU Dedicated Server - P1000

  • 32GB RAM
  • Eight-Core Xeon E5-2690
        (8 Cores & 16 Threads)
  • 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





    • 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

  • Microarchitecture: Ampere
  • CUDA Cores: 6144
  • Tensor Cores: 192
  • GPU Memory: 16GB GDDR6
  • FP32 Performance: 19.2
        TFLOPS

    • Available for Rendering, AI/Deep Learning, Data Science, CAD/CGI/DCC.

    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: Linux / Windows
    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 - A5000

  • 128GB RAM
  • Dual 12-Core E5-2697v2
         (24 Cores & 48 Threads)
  • 240GB SSD + 2TB SSD
  • 100Mbps-1Gbps




    • OS: Windows / Linux
    GPU: Nvidia Quadro RTX A5000

  • Microarchitecture: Ampere
  • CUDA Cores: 8192
  • Tensor Cores: 256
  • GPU Memory: 24GB GDDR6
  • FP32 Performance: 27.8
         TFLOPS




    • Enterprise GPU Dedicated Server - RTX A6000

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

    • OS: Windows / Linux
    GPU: Nvidia Quadro RTX A6000

  • Microarchitecture: Ampere
  • CUDA Cores: 10,752
  • Tensor Cores: 336
  • GPU Memory: 48GB GDDR6
  • FP32 Performance: 38.71
        TFLOPS




    • Optimally running 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/li>
  • 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 Gemma 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 8x48GB 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 Llama 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.


    What is Google Gemma 2 Good For?

    Gemma 2 has a wide range of applications across various industries and domains.

    Text Generation

    Text Generation

    These models can be used to generate creative text formats such as poems, scripts, code, marketing copy, and email drafts.

    Chatbots and Conversational AI

    Chatbots and Conversational AI

    Power conversational interfaces for customer service, virtual assistants, or interactive applications.

    Text Summarization

    Text Summarization

    Generate concise summaries of a text corpus, research papers, or reports.


    Language Learning Tools

    Language Learning Tools

    Support interactive language learning experiences, aiding in grammar correction or providing writing practice.

    Natural Language Processing (NLP) Research

    Natural Language Processing (NLP) Research

    These models can serve as a foundation for researchers to experiment with NLP techniques, develop algorithms, and contribute to the advancement of the field.

    Knowledge Exploration

    Knowledge Exploration

    Assist researchers in exploring large bodies of text by generating summaries or answering questions about specific topics.


    How to Run Gemma 2 LLMs with Ollama

    Let's go through Get up and running with Qwen, DeepSeek, Llama, Gemma, and other LLMs with Ollama step-by-step.



    Order and Login GPU Server



    Download and Install Ollama



    Run Gemma 2 with Ollama



    Chat with Gemma 2


    FAQs of Gemma 2 Hosting

    Here are some Frequently Asked Questions (FAQs) related to hosting and deploying the Gemma 2 model.

    What is Gemma 2?
    Gemma 2 is an open-weight AI model developed by Google DeepMind, optimized for efficiency and performance in various machine learning tasks, including text generation, chatbots, and more.
    Yes, but performance will be significantly slower. A high-end CPU with AVX2 or AVX-512 support is required for reasonable performance.
    Yes, Gemma 2 can be deployed locally using tools like Ollama or Docker.
    Gemma 2 supports PyTorch and TensorFlow, but most users prefer PyTorch due to its active ecosystem and compatibility with optimization libraries like FlashAttention and TensorRT.
    Yes, you can use model parallelism (e.g., DeepSpeed, FSDP) to distribute the model across multiple GPUs.
    Yes, using LoRA, QLoRA, or full fine-tuning via Hugging Face’s Trainer API or DeepSpeed.

    Get in touch

    -->
    Send
    Terms and Conditions / Privacy Policy / Refund and Cancellation