Private Llama 4 Deployment with LeaderGPU
Experience the power of Meta's cutting-edge Llama 4 models in a private, secure environment with LeaderGPU's specialized deployment service. We handle the technical setup while you focus on innovation.
GDPR Compliant
EU-Based Infrastructure
Free Installation & Setup
We provide the ideal infrastructure for running private Llama 4 instances with enterprise-grade reliability and performance.
GDPR Compliant
Your data never leaves your private server. Unlike cloud-based solutions, our Llama 4 deployment ensures your prompts, outputs, and fine-tuning data remain exclusively yours.
High-Performance Computing
Our dedicated enterprise servers with top-tier NVIDIA GPUs ensure optimal performance for both Llama 4 Scout and Maverick models, handling complex workloads efficiently.
Full Customization
Tailor your Llama 4 deployment to your specific needs with custom fine-tuning options, parameter adjustments, and integration capabilities for your existing workflows.
Multimodal Capabilities
Access Llama 4's native multimodal features, allowing for seamless processing of both text and image inputs, enabling more versatile AI applications.
Efficient Resource Usage
Benefit from Llama 4's Mixture-of-Experts architecture, which activates only the necessary parts of the model for each request, providing cost-efficient inference.
Expert Support
Our experienced team provides technical support and guidance on optimizing your Llama 4 setup, ensuring you get the most from your deployment.
Select the ideal Llama 4 variant for your specific use case and performance requirements.
| Feature | Llama 4 Scout | Llama 4 Maverick |
|---|---|---|
| Parameters | 109B total (17B active) | ~400B total (17B active) |
| MoE Architecture | 16 Experts | 128 Experts |
| Context Window | 10 million tokens | 1 million tokens |
| Multimodal | Yes | Yes |
| Recommended Hardware | H100, A100, A6000, 6000 Ada | Multiple H100/A100 or RTX 6000 Ada |
| Best For | Long-context tasks, document analysis, research | General-purpose AI, complex reasoning, multimodal applications |
From enterprise workflows to specialized applications, Llama 4 excels in a wide range of scenarios where privacy and performance are paramount.
Financial Services
Process financial documents, generate reports, analyze market trends, and handle sensitive financial data with complete privacy and security.
Software Development
Enhance developer productivity with code generation, debugging assistance, documentation writing, and codebase analysis without exposing proprietary code.
Legal
Analyze legal documents, assist with contract review, research case law, and generate legal briefs while maintaining client confidentiality.
Research & Development
Process research papers, analyze experimental data, generate hypotheses, and assist with literature reviews while protecting intellectual property.
Customer Support
Build advanced support chatbots, generate responses, analyze customer inquiries, and create knowledge base content with complete control over customer data.
Llama 4 introduces revolutionary architecture and capabilities that set it apart from previous models.
Mixture-of-Experts (MoE) Architecture
Llama 4 employs an innovative MoE architecture that activates only the relevant "expert" neural networks for each specific task. This approach significantly improves efficiency by using only 17B active parameters out of hundreds of billions of total parameters per inference, reducing computational requirements while maintaining high performance.
Extended Context Window
With an unprecedented context window of up to 10 million tokens for Llama 4 Scout, the model can process and reason across extremely large documents or multiple documents simultaneously. This capability enables complex analytical tasks that were previously impossible with smaller context windows.
Native Multimodality
Llama 4 features built-in multimodal capabilities, allowing it to process and understand both text and images within the same context. This enables more intuitive interactions and applications that can analyze visual content alongside text data.
Multilingual Support
With improved multilingual capabilities, Llama 4 can effectively process and generate content in multiple languages, making it ideal for global organizations and applications requiring multilingual support.
We offer Llama 4 deployment on a range of high-performance NVIDIA GPUs to meet your specific performance requirements.
Recommended for Llama 4 Scout
- NVIDIA H100 (80GB) - Optimal performance for full capabilities
- NVIDIA A100 (80GB) - Excellent performance with good efficiency
- NVIDIA RTX A6000 - Good performance for smaller workloads
- NVIDIA RTX 6000 Ada - Excellent for research and development
- NVIDIA L40S - Good balance of performance and efficiency
Recommended for Llama 4 Maverick
- Multiple NVIDIA H100 (80GB) - For optimal performance
- Multiple NVIDIA A100 (80GB) - For balanced performance
- Multiple NVIDIA RTX 6000 Ada - For high-performance workloads
Get started today with our professional setup and installation service. Our team will work with you to configure the optimal environment for your specific needs.
Select any server and we will install Llama4 on it completely free of charge. The server will be ready within one business day.