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Ollama Hosting — GPU Dedicated Server Solutions

DBM has devoted all its efforts to build Ollama Hosting , providing users with top-level GPU dedicated servers, which support the free deployment of any model supported by Ollama, such as Llama, Falcon, StableLM, CodeLlama and many other well-known large language models (LLM). We are committed to providing developers and enterprises with a high-performance, flexible and stable computing environment to help you master AI development and reasoning tasks.

Pricing and Flexibility for Meta Llama Hosting

Dedicated Server with 1*GPU
Dedicated Server with Multi GPUs

Advanced GPU Dedicated Server - V100

$ 229.00/mo
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  • 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
  • Cost-effective for AI, deep learning, data visualization, HPC, etc

Enterprise GPU Dedicated Server - RTX 4090

$ 409.00/mo
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  • 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 - RTX A6000

$ 409.00/mo
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  • 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 - A100

$ 639.00/mo
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  • 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

8 Core Features of Ollama Hosting

High-performance GPU dedicated server
High-Performance GPU Dedicated Server
Equipped with top-level GPUs such as NVIDIA A100, V100, and RTX A6000 , it supports all computing needs from model training to inference. Dedicated resources, no need to share GPU, ensure stable high-performance operation.Supports multi-GPU parallel computing to accelerate the training and reasoning of large models.
Freely deploy any model
Freely Deploy any Model
Fully compatible with the Ollama platform, users can freely choose and deploy models, including: Llama, Falcon, StableLM, Mistral, CodeLlama, Gemma, StarCoder
Flexible configuration and on-demand expansion
Flexible Configuration and On-Demand Expansion
Supports a variety of server configurations, and you can choose different GPU, CPU, memory and storage solutions according to task requirements. Users can expand computing resources at any time to meet diverse needs from small-scale experiments to enterprise-level deployments.
One-click deployment and management tools
One-click deployment and management tools
Provides an easy-to-use management interface and API to support rapid model deployment, resource monitoring, and performance optimization. Install common environments such as PyTorch, TensorFlow, and Ollama SDK with one click to reduce configuration time.
Data Privacy and Security
Data Privacy and Security
All data transmission uses encryption technology to ensure the security of models and data. Provide dedicated servers to avoid sharing resources with other users and ensure full control of data.
24/7 technical support
24/7 Technical Support
7x24 hours online support helps users solve all problems from environment configuration to model optimization. Provide comprehensive technical documentation and tutorials to help you quickly get started with the Ollama platform.
Server Management Tools
Server Management Tools
Provides resource monitoring and management tools, allowing users to easily view key indicators such as GPU usage and model performance. Supports automated deployment scripts to simplify model updates and maintenance.
Customized services
Customized Service
Based on enterprise needs, we provide customized server configuration and technical consulting services to ensure maximum resource utilization. Provides flexible billing plans and supports on-demand expansion.

Application Scenarios of Ollama Hosting

AI model training and reasoning

AI Model Training and Reasoning

It supports efficient training and reasoning of large-scale deep learning models and is suitable for fields such as natural language processing (NLP) and computer vision (CV). Specially optimized server environment significantly improves training speed and shortens inference time.
Develop customized AI applications

Develop Customized AI Applications

Quickly build applications such as chatbots, voice assistants, search engines, and question-answering systems through the Ollama platform. Support users to fine-tune the model to adapt to task requirements in specific fields.
Large-scale model deployment

Large-Scale Model Deployment

Provide enterprise customers with reliable GPU computing capabilities to support long-running, high-load tasks. Suitable for real-time AI applications that require high stability and low latency.
Open source AI model research and experiments

Open Source AI Model Research and Experiments

Combined with the open source model of the Ollama platform, it supports research teams in algorithm optimization and performance experiments.

Recommended Configuration and Applicable Models

FAQs of Meta Llama Hosting on GPU Server

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 1, 2, 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 1, Llama 2, and Llama 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.