Deploy Llama-4-Scout-17B-16E-Instruct privately with full control
Run Meta's efficient Mixture-of-Experts model on our cloud infrastructure. Get fixed monthly pricing, complete data privacy, and unlimited multimodal usage without API costs.
Why Llama-4-Scout revolutionizes AI efficiency
Smart efficiency
Mixture-of-Experts architecture with 17B parameters activates only 2 experts at a time, delivering high performance while minimizing computational overhead.
Multimodal capabilities
Handle both text and image tasks seamlessly with one unified model, trained on diverse multimodal data for comprehensive AI applications.
Complete privacy
Your data never leaves our secure cloud infrastructure. Perfect for applications requiring data sovereignty and complete control over AI processing.
Built for efficient and versatile AI applications
Mixture-of-Experts design
17 billion parameters with 16 experts, activating only 2 at a time for optimal efficiency without sacrificing performance quality.
Multimodal processing
Native support for both text and image inputs, enabling comprehensive AI applications from content analysis to visual understanding.
Lightweight architecture
Compact and efficient design provides a high-performance alternative to larger models while maintaining excellent output quality.
Advanced training data
Trained on diverse multimodal datasets for robust understanding across text generation, image analysis, and cross-modal tasks.
Predictable costs
Pay a fixed monthly GPU rental fee instead of per-API-call costs. Scale usage without worrying about exponential billing.
Global deployment
Deploy across 210+ points of presence worldwide with smart routing to the nearest GPU for optimal performance.
Industries ready for efficient multimodal AI
Content creation
Multimodal content generation
- Generate and analyze both text and visual content for marketing campaigns, social media, and creative projects. Process images and create accompanying text with complete privacy.
E-commerce
Product analysis and descriptions
- Analyze product images and generate detailed descriptions, process customer reviews with images, and create comprehensive product catalogs with multimodal understanding.
Education
Interactive learning materials
- Create educational content that combines text and visual elements, analyze student submissions across different media types, and provide comprehensive feedback.
Research
Data analysis and insights
- Process research documents with charts and graphs, analyze scientific images with contextual text, and generate comprehensive reports from multimodal datasets.
How Everywhere Inference works
AI infrastructure built for performance and flexibility with Llama-4-Scout-17B-16E-Instruct
01
Choose your configuration
Select from pre-configured Llama-4-Scout instances or customize your deployment based on performance and budget requirements.
02
Deploy in 3 clicks
Launch your private Llama-4-Scout instance across our global infrastructure with smart routing to optimize performance and compliance.
03
Scale without limits
Use your model with unlimited requests at a fixed monthly cost. Scale your multimodal applications without worrying about per-call API fees.
With Everywhere Inference, you get enterprise-grade infrastructure management while maintaining complete control over your multimodal AI deployment.
Ready-to-use multimodal solutions
Content management platform
Deploy efficient multimodal AI for content creation and analysis with Llama-4-Scout's lightweight yet powerful architecture.
E-commerce intelligence suite
Build private product analysis and description tools that process both images and text while keeping your data completely confidential.
Educational content creator
Process educational materials combining text and visuals while maintaining complete privacy for student and institutional data.
Frequently asked questions
How does the Mixture-of-Experts architecture work in Llama-4-Scout?
Llama-4-Scout uses 17 billion parameters organized into 16 experts, but only activates 2 experts for any given task. This selective activation provides high performance while maintaining efficiency and reducing computational overhead compared to traditional models.
What types of multimodal tasks can Llama-4-Scout handle?
The model can process both text and image inputs simultaneously, enabling tasks like image captioning, visual question answering, content generation based on images, and text-image analysis for comprehensive understanding.
How does pricing work compared to API-based multimodal models?
Instead of paying per API call for both text and image processing, you rent GPU capacity at a fixed monthly rate. This eliminates usage-based billing surprises and is often more cost-effective for multimodal applications.
What are the hardware requirements for running Llama-4-Scout?
Thanks to its efficient Mixture-of-Experts design, the model runs effectively on optimized GPU configurations. We handle all infrastructure management, so you don't need to worry about hardware procurement or maintenance.
How does Llama-4-Scout compare to the larger Maverick variant?
Scout offers a lightweight, high-performance alternative with 16 experts compared to Maverick's 128 experts. Scout is ideal for applications prioritizing efficiency and cost-effectiveness while still requiring strong multimodal capabilities.
Deploy Llama-4-Scout-17B-16E-Instruct today
Start building efficient multimodal AI applications with complete privacy and control. Get predictable pricing and unlimited usage.