Choose Your Gemma 3 Hosting Plans

Infotronics offers best budget GPU servers for Gemma 3. Cost-effective dedicated GPU servers are ideal for hosting your own LLMs online.

Advanced GPU Dedicated Server - A5000

  • 128GB RAM
  • GPU: Nvidia Quadro RTX A5000
  • Dual 12-Core E5-2697v2
         (24 Cores & 48 Threads)
  • 240GB SSD + 2TB SSD
  • 100Mbps-1Gbps
  • OS: Windows / Linux


  • Single GPU Specifications:

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


  • Enterprise GPU Dedicated Server - RTX 4090

  • 256GB RAM
  • GPU: GeForce RTX 4090
  • Dual 18-Core E5-2697v4
        36 Cores & 72 Threads
  • 240GB SSD + 2TB NVMe+8TB SATA
  • 100Mbps-1Gbps
  • OS: Windows / Linux


  • Single GPU Specifications:

  • Microarchitecture: Ada Lovelace
  • CUDA Cores: 16,384
  • Tensor Cores: 512
  • GPU Memory: 24GB GDDR6X
  • FP32 Performance: 82.6
        TFLOPS


  • Advanced GPU VPS - RTX 5090


  • 96GB RAM
  • 32 CPU Cores
  • 400GB SSD
  • 500Mbps Unmetered
    Bandwidth


  • Once per 2 Weeks Backup

  • OS: Linux / Windows 10/
    Windows 11
  • Dedicated GPU: GeForce RTX 5090
  • CUDA Cores: 21,760
  • Tensor Cores: 680
  • GPU Memory: 32GB GDDR7
  • FP32 Performance: 109.7
         TFLOPS


  • Enterprise GPU Dedicated Server - A100

  • 256GB RAM
  • GPU: Nvidia A100
  • Dual 18-Core E5-2697v4
        (36 Cores & 72 Threads
  • 240GB SSD + 2TB NVMe + 8TB
        SATA
  • 100Mbps-1Gbps
  • OS: Windows / Linux

  • Single GPU Specifications:

  • Microarchitecture: Ampere
  • CUDA Cores: 6912/li>
  • Tensor Cores: 432
  • GPU Memory: 40GB HBM2
  • FP32 Performance: 19.5
        TFLOPS

  • Basic GPU Dedicated Server - GTX 1650

  • 64GB RAM
  • GPU: Nvidia GeForce GTX 1650
  • Eight-Core Xeon E5-2667v3
        (8 Cores & 16 Threads)
  • 120GB + 960GB SSD
  • 100Mbps-1Gbps
  • OS: Windows / Linux


  • Single GPU Specifications:

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


  • Advanced GPU Dedicated Server - RTX 3060 Ti

  • 128GB RAM
  • GPU: GeForce RTX 3060 Ti
  • Dual 12-Core E5-2697v2
        (24 Cores & 48 Threads
  • 240GB SSD + 2TB SSD
  • 100Mbps-1Gbps
  • OS: Linux / Windows


  • Single GPU Specifications:

  • Microarchitecture: Ampere
  • CUDA Cores: 4864
  • Tensor Cores: 152
  • GPU Memory: 8GB GDDR6
  • FP32 Performance: 16.2
        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

  • Enterprise GPU Dedicated Server - RTX A6000

  • 256GB RAM
  • GPU: Nvidia Quadro RTX A6000
  • Dual 18-Core E5-2697v4
        (36 Cores & 72 Threads)
  • 240GB SSD + 2TB NVMe + 8TB
         SATA
  • 100Mbps-1Gbps
  • OS: Windows / Linux

  • Single GPU Specifications:

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


  • What is Google Gemma 3 Good For?

    Gemma 3 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 3 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 3 with Ollama



    Chat with Gemma 3


    FAQs of Gemma 3 Hosting

    Here are some Frequently Asked Questions about Google Gemma 3 LLMs.

    What is Gemma 3?
    Gemma is a lightweight, family of models from Google built on Gemini technology. The Gemma 3 models are multimodal—processing text and images—and feature a 128K context window with support for over 140 languages. Available in 1B, 4B, 12B, and 27B parameter sizes, they excel in tasks like question answering, summarization, and reasoning, while their compact design allows deployment on resource-limited devices.
    Gemma is a class of generative artificial intelligence (AI) models that can be used for various generative tasks, including question answering, summarization, and reasoning. Gemma models provide open weights and allow responsible commercial use, enabling you to fine-tune and deploy them in your own projects and applications.
    Gemma-3 can be deployed via Ollama, vLLM, or on-premise solutions.

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