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.
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.
Choose Your Gemma 2 Hosting Plans
DatabaseMart offers best budget GPU servers for Gemma 2. Cost-effective dedicated GPU servers are ideal for hosting your own LLMs online.
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
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.
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 - A5000
$ 349.00/mo
1mo3mo12mo24mo
Order Now- 128GB RAM
- Dual 12-Core E5-2697v2
- 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
- $174.5 first month, then enjoy a 20% discount for renewals.
Flash Sale to Mar.16
Enterprise GPU Dedicated Server - RTX A6000
$ 384.00/mo
30% OFF Recurring (Was $549.00)
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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 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
1mo3mo12mo24mo
Order Now- 256GB RAM
- Dual 18-Core E5-2697v4
- 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: 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 Gemma 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 LLM 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.
What is Google Gemma 2 Good For?
Gemma 2 has a wide range of applications across various industries and domains.
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
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 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
Sample Command line
# install Ollama on Linux curl -fsSL https://ollama.com/install.sh | sh # on Quadro P1000 4GB or higher, you can run Gemma 2 2b ollama run gemma2:2b # on RTX 3060 Ti 8GB or higher, you can run Gemma 2 9b ollama run gemma2:9b # on RTX 4090, A5000 or higher, you can run Gemma 2 27b ollama run gemma2:27b
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.
Can Gemma 2 run on CPU-only servers?
Yes, but performance will be significantly slower. A high-end CPU with AVX2 or AVX-512 support is required for reasonable performance.
Can Gemma 2 be deployed locally?
Yes, Gemma 2 can be deployed locally using tools like Ollama or Docker.
What is the best framework for running Gemma 2?
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.
Can I use multiple GPUs for hosting?
Yes, you can use model parallelism (e.g., DeepSpeed, FSDP) to distribute the model across multiple GPUs.
Can I fine-tune Gemma 2 for specific tasks?
Yes, using LoRA, QLoRA, or full fine-tuning via Hugging Face’s Trainer API or DeepSpeed.