AWS Llama Stack
Shares tags: deploy, openrouter/meta
AI Tool
Power Your AI with Together AI Hosted Llama
Unlock unparalleled performance from Meta Llama models with tailored inference solutions.
Empower your AI applications with advanced Llama 4 models, designed for multimodal processing and long-context tasks.Experience lightning-fast inference speeds, handling up to 350 tokens per second with seamless scalability.Fine-tune models for your specific use cases, enhancing efficiency while lowering computational costs.
Tags
DeployCloudOpenRouter/Meta
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overview
Overview of Together AI Hosted Llama
Together AI Hosted Llama offers high-throughput inference for the latest Meta Llama models, including Llama 4 Maverick and Scout. Designed for enterprise and developer use, our platform simplifies complex AI tasks while maximizing performance.
- Support for text, image, and video inputs
- Private deployment options available
- Seamless integration with existing workflows
features
Key Features
Our platform is distinguished by its innovative features, enabling efficient processing and fine-tuning of large language models. Tap into a robust ecosystem that supports unique AI needs.
- Industry-leading inference speed with serverless endpoints
- Fine-tuning options for all model configurations
- Support for context lengths up to 10 million tokens
use_cases
Transformative Use Cases
Together AI Hosted Llama is ideal for various applications, from chatbots and document analysis to multilingual support and API automation. Enterprises can leverage our models for improved interaction and data handling.
- Chat and conversational AI solutions
- Automated document processing workflows
- Multilingual capabilities for global reach
Frequently Asked Questions
What types of models are hosted on Together AI?
Together AI hosts the latest Llama models, including Llama 4 Maverick and Llama 4 Scout, designed for high-performance AI applications.
How does fine-tuning work on the platform?
Fine-tuning allows developers to customize models for specific tasks, enhancing their effectiveness for targeted applications.
What pricing model is used?
We offer cost-efficient, pay-per-token pricing, making it suitable for both prototyping and large-scale production workloads.