Text Generation
These models can be used to generate creative text formats such as poems, scripts, code, marketing copy, and email drafts.
Gemma 3 Hosting,
Host Gemma-3 with Ollama
Google's latest model, Gemma 3, is open-source and highly efficient. It's the most powerful model that can run on a single GPU. Find the most optimal way to host your own Gemma LLM on our cheap GPU servers.
Choose Your Gemma-3 Hosting Plans
GPU Mart offers best budget GPU servers for Gemma 3 1b/4b/12b/27b. Cost-effective dedicated GPU servers are ideal for hosting your own Gemma-3 LLMs online.
Flash Sale to May 27
Basic GPU Dedicated Server - GTX 1650
$ 59.50/mo
50% OFF Recurring (Was $119.00)
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Order Now- 64GB RAM
- Eight-Core Xeon E5-2667v3
- 120GB + 960GB SSD
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- OS: Windows / Linux
- GPU: Nvidia GeForce GTX 1650
- Microarchitecture: Turing
- CUDA Cores: 896
- GPU Memory: 4GB GDDR5
- FP32 Performance: 3.0 TFLOPS
Flash Sale to May 27
Advanced GPU Dedicated Server - RTX 3060 Ti
$ 119.50/mo
50% OFF Recurring (Was $239.00)
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- 240GB SSD + 2TB SSD
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- 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
Flash Sale to May 27
Professional GPU VPS - A4000
$ 93.75/mo
47% OFF Recurring (Was $179.00)
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- 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.
Advanced GPU Dedicated Server - A5000
$ 269.00/mo
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Order Now- 128GB RAM
- Dual 12-Core E5-2697v2
- 240GB SSD + 2TB SSD
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- 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
Flash Sale to May 27
Enterprise GPU Dedicated Server - RTX A6000
$ 329.00/mo
40% OFF Recurring (Was $549.00)
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Order Now- 256GB RAM
- Dual 18-Core E5-2697v4
- 240GB SSD + 2TB NVMe + 8TB SATA
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- 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
$ 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
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Enterprise GPU Dedicated Server - A100
$ 639.00/mo
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Order Now- 256GB RAM
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- 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
New Arrival
Enterprise GPU Dedicated Server - A100(80GB)
$ 1559.00/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: 80GB HBM2e
- FP32 Performance: 19.5 TFLOPS
More GPU Server Instance Pricingarrow_circle_right
Gemma-3-27B Benchmark Performance
With just 27B parameters, Gemma-3 easily outperforms the 671B full-power DeepSeek V3, o3-mini, and Llama-405B, ranking second only to DeepSeek-R1.
What is Google Gemma 3 Good For?
Gemma 3 has a wide range of applications across various industries and domains.
Chatbots and Conversational AI
Power conversational interfaces for customer service, virtual assistants, or interactive applications.
Text Summarization
Generate concise summaries of a text corpus, research papers, or reports.
Language Learning Tools
Support interactive language learning experiences, aiding in grammar correction or providing writing practice.
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
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
Sample - Run Gemma-3 with Ollama Command line
This model requires Ollama 0.6 or later.
# install Ollama on Linux
curl -fsSL https://ollama.com/install.sh | shText only - 1B parameter model (32k context window)
ollama run gemma3:1bMultimodal (Vision) - 4B parameter model (128k context window)
ollama run gemma3:4b 12B parameter model (128k context window)
ollama run gemma3:12b27B parameter model (128k context window)
ollama run gemma3:27bNote: Here is a table summarizing the key parameters of Google's Gemma 3 models, along with their approximate VRAM requirements when running 4-bit quantized versions (Q4_0) using Ollama:
| Model Size | Parameters | Download Size | VRAM Required (4-bit QAT) | Notes |
|---|---|---|---|---|
| 1B | 1 Billion | ~1 GB | 1~ GB | Suitable for low-end GPUs like GTX 1650 4GB. |
| 4B | 4 Billion | ~4 GB | 4~ GB | Runs efficiently on GPUs with 4–8GB VRAM. |
| 12B | 12 Billion | ~8.9 GB | 12~ GB | Optimal performance on GPUs with ≥16GB VRAM. |
| 27B | 27 Billion | ~18 GB | 24~ GB | Requires GPUs with ≥24GB VRAM |
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.
Who can use Gemma?
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.
How can I deploy Gemma-3?
Gemma-3 can be deployed via Ollama, vLLM, or on-premise solutions.