Powerful Computing Performance
Meta Llama Hosting provides you with dedicated GPU servers equipped with the most advanced NVIDIA A100, V100, A6000, RTX series and other GPU hardware to ensure you with excellent computing performance.
LLama 3 Hosting, Host your Llama 3.1/3.2/3.3 with Ollama
Llama 3.x is the state-of-the-art, available in 1B,3B,8B, 70B and 405B parameter sizes. Meta’s smaller models are competitive with closed and open models that have a similar number of parameters. You can deploy your own Llama 3.x with Ollama.
Choose Your LLaMA 3 Hosting Plans
Database Mart offers best budget GPU servers for LLaMA 3.x. Cost-effective hosting of LLaMA 3.x is ideal for hosting your own LLMs online.
Express GPU Dedicated Server - P1000
- 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 June 16
Basic GPU Dedicated Server - GTX 1660
- 64GB RAM
- Dual 10-Core Xeon E5-2660v2
- 120GB + 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
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
Advanced GPU Dedicated Server - V100
- 128GB RAM
- Dual 12-Core E5-2690v3
- 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
Multi-GPU Dedicated Server - 3xV100
- 256GB RAM
- Dual 18-Core E5-2697v4
- 240GB SSD + 2TB NVMe + 8TB SATA
- 1Gbps
- OS: Windows / Linux
- GPU: 3 x Nvidia V100
- Microarchitecture: Volta
- CUDA Cores: 5,120
- Tensor Cores: 640
- GPU Memory: 16GB HBM2
- FP32 Performance: 14 TFLOPS
Advanced GPU Dedicated Server - A5000
- 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
Enterprise GPU Dedicated Server - RTX A6000
- 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
Enterprise GPU Dedicated Server - RTX 4090
- 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
Flash sale to June 16
Enterprise GPU Dedicated Server - A100
- 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
New Arrival
Multi-GPU Dedicated Server- 2xRTX 5090
- 256GB RAM
- Dual Gold 6148
- 240GB SSD + 2TB NVMe + 8TB SATA
- 1Gbps
- OS: Windows / Linux
- GPU: 2 x GeForce RTX 5090
- Microarchitecture: Ada Lovelace
- CUDA Cores: 20,480
- Tensor Cores: 680
- GPU Memory: 32 GB GDDR7
- FP32 Performance: 109.7 TFLOPS
Multi-GPU Dedicated Server - 4xRTX A6000
- 512GB RAM
- Dual 22-Core E5-2699v4
- 240GB SSD + 4TB NVMe + 16TB SATA
- 1Gbps
- OS: Windows / Linux
- GPU: 4 x Quadro RTX A6000
- Microarchitecture: Ampere
- CUDA Cores: 10,752
- Tensor Cores: 336
- GPU Memory: 48GB GDDR6
- FP32 Performance: 38.71 TFLOPS
New Arrival
Enterprise GPU Dedicated Server - A100(80GB)
- 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
Multi-GPU Dedicated Server - 4xA100
- 512GB RAM
- Dual 22-Core E5-2699v4
- 240GB SSD + 4TB NVMe + 16TB SATA
- 1Gbps
- OS: Windows / Linux
- GPU: 4 x Nvidia A100
- Microarchitecture: Ampere
- CUDA Cores: 6912
- Tensor Cores: 432
- GPU Memory: 40GB HBM2
- FP32 Performance: 19.5 TFLOPS
Llama 3.1 vs Llama 3.2 vs Llama 3.3
Here is a comparative table summarizing the key specifications and minimum VRAM requirements for Meta's Llama 3.1, 3.2, and 3.3 models when running on Ollama with 4-bit quantization:
| Model Version | Parameter Size | Context Length | VRAM Requirement (4-bit) | Recommended GPU | Key Features & Use Cases |
|---|---|---|---|---|---|
| Llama 3.1 8B | 8B | 128K tokens | ~4.9 GB | GTX 1660 6GB or higher | General-purpose text generation and encoding tasks. |
| Llama 3.1 70B | 70B | 128K tokens | ~43 GB | A6000 48GB or higher | High-performance text generation for commercial applications. |
| Llama 3.1 405B | 405B | 128K tokens | ~243 GB | 4×A100 80GB or higher | Research-grade model requiring cloud infrastructure. |
| Llama 3.2 1B | 1B | 128K tokens | ~0.75 GB | Quadro P1000 4GB or higher | Optimized for mobile devices and edge deployments. |
| Llama 3.2 3B | 3B | 128K tokens | ~1.75 GB | RTX 3060ti 8GB or higher | Suitable for lightweight applications on consumer hardware. |
| Llama 3.2 11B Vision | 11B | 128K tokens | ~8 GB | RTX A4000 16GB or higher | Multimodal model supporting image and text processing. |
| Llama 3.2 90B Vision | 90B | 128K tokens | ~64 GB | A100 80GB or higher | Advanced multimodal capabilities for complex visual tasks. |
| Llama 3.3 70B | 70B | 128K tokens | ~35 GB | RTX 4090 24GB or higher | Efficient model with multilingual support and long-context handling. |
Notes:
The VRAM requirements listed are approximate and pertain to running 4-bit quantized versions of the models. Actual requirements may vary based on specific use cases and system configurations.
Llama 3.2 introduced multimodal capabilities, enabling the processing of both text and images, which is beneficial for applications like augmented reality and visual search.
Llama 3.3 focuses on efficiency and multilingual support, making it suitable for applications requiring long-context understanding and deployment on consumer-grade hardware.
If you need further assistance in selecting the appropriate model for your hardware or guidance on setting up these models with Ollama, feel free to ask!
8 Core Features of Meta Llama Hosting
Llama 1 to Llama 3 Hosting
We provide you with full version support for the Llama framework, including Llama 1, Llama 2, and Llama 3. Whether you need the latest Llama 3 for cutting-edge research, or rely on the stability of Llama 2 for enterprise-level deployment, Llama Hosting can meet your needs.
Multiple Platform Options
We not only support Llama native solutions, but also platforms such as Ollama for flexible deployment. Whether you need to perform AI training based on the Ollama platform or choose other platforms, we can provide the best hardware support to ensure that your application performance is optimal.
Optimized AI Training and Reasoning
Through efficient GPU resource configuration, Meta Llama Hosting can significantly shorten AI model training time and increase inference speed. You can use efficient hardware and the Llama framework to quickly iterate models and promote faster implementation of AI projects.
Dedicated Resources
Unlike cloud servers, Meta Llama Hosting provides completely independent dedicated GPU resources. This means your AI training and reasoning tasks will not be affected by other users, suitable for workloads that require continuous and efficient computing.
24/7 Technical Support
Our support team provides you with technical support 24/7. Whether it is server configuration, performance optimization or troubleshooting, we will provide you with quick response and solutions.
Simplified Server Management
Meta Llama Hosting provides an easy-to-use control panel to help you easily manage and monitor GPU resources. You can view server performance at any time, adjust configurations, and ensure that every task is performed efficiently.
Customized Service
In response to the needs of enterprises and teams, we provide customized technical consulting and optimization services to help you make personalized configurations based on actual workloads and ensure maximum utilization of GPU resources.
What Can You Use Hosted Llama 3.x For?
Hosted LLaMA 3.x offers a powerful and flexible tool for various applications, particularly for organizations and developers who want to leverage advanced AI capabilities without the need for extensive infrastructure.
check_circleText Generation
Generate high-quality, coherent text for various purposes, such as content creation, blogging, and automated writing.
check_circleSummarization
Summarize large documents, articles, or any other text data, providing concise and accurate summaries.
check_circleTranslation
Translate text between different languages, leveraging the model's multilingual capabilities.
check_circleChatbots
Develop advanced chatbots that can engage in human-like conversations, providing customer support, answering queries, or even conducting interviews.
check_circleProgramming Assistance
Use the model to generate code snippets, assist in debugging, or even help with understanding complex codebases.
check_circleCreative Writing
Assist in generating creative content, such as stories, poems, scripts, or even marketing copy.
check_circleQuestion Answering
Implement advanced Q&A systems that can answer detailed and complex questions based on extensive text sources.
check_circleGlobal Customer Support
Offer multilingual customer support by deploying LLaMA 3.1 in different languages, ensuring consistent service across regions.
How to Run Llama 3 with Ollama
We will go through How to Run Llama 3.1 8B with Ollama step-by-step.
Order and Login GPU Server
Download and Install Ollama
Run Llama 3.x with Ollama
Chat with Meta Llama 3.x
FAQs of Meta Llama Hosting
What is Meta Llama Hosting on GPU Server?
Meta Llama Hosting provides dedicated GPU servers optimized for AI model training and inference. These servers are designed to support Llama solutions (Llama 3.1, 3.2, 3.3) and other platforms like Ollama. Whether you're developing AI models, performing data science tasks, or handling large-scale AI deployments, our GPU servers deliver the computational power you need.
Can I choose different versions of Llama for deployment?
Yes! Meta Llama Hosting supports multiple versions of Llama, including Llama 3.1, Llama 3.2, and Llama 3.3. You can easily switch between these versions depending on your specific needs for AI model development or deployment.
How flexible is the server configuration?
Meta Llama Hosting offers highly flexible GPU server configurations. You can choose the number of GPUs, memory, storage, and other resources based on your project’s requirements. Whether you’re working on a small prototype or a large-scale AI deployment, we provide tailored solutions to meet your needs.
What are the pricing models available?
Meta Llama Hosting offers flexible pricing models, including monthly and yearly Billing cycle. You can choose the model that best fits your usage patterns and budget. Additionally, we offer customized pricing for enterprise customers requiring large-scale deployments.
Is there a free trial available?
Yes, we offer a free trial period for new customers so that you can explore Meta Llama Hosting’s capabilities before making a commitment. The free trial allows you to test the performance of our GPU servers and the Llama solution in your own environment.
Which GPU models are available on Meta Llama Hosting?
We offer the latest NVIDIA GPUs, including A100, V100, and RTX series. These GPUs are known for their exceptional performance in AI tasks, such as deep learning, machine learning, and large-scale data processing.
What is the difference between Llama and Ollama platforms?
Llama is a framework developed for advanced AI applications, while Ollama is another platform that provides flexibility for AI model deployment. Meta Llama Hosting supports both, giving you the freedom to choose the most suitable platform for your project.
How does Meta Llama Hosting ensure high performance and stability?
Our GPU servers are optimized for high-performance computing (HPC) tasks. With dedicated resources, you won’t face the issue of resource contention, ensuring stable performance. We also provide 24/7 monitoring and support to resolve any issues quickly.
How can I get support if I face any issues?
Our support team is available 24/7 to assist with any technical issues. Whether it's related to server configuration, performance optimization, or troubleshooting, our experts are here to help. You can reach us via email, chat, or phone.
How secure is the data on Meta Llama Hosting?
We take security seriously. Meta Llama Hosting ensures data encryption both in transit and at rest. Our infrastructure follows the latest security standards to safeguard your AI models and sensitive data. Additionally, we provide compliance with industry regulations to ensure your data is handled responsibly.