Optimize Your Generative AI Projects with Friendli Engine: Unmatched Efficiency and Cost Savings for Language Model Serving

About friendli

The Friendli Engine is a cutting-edge solution designed to optimize the serving of large language models (LLMs) with remarkable efficiency and cost-effectiveness. This innovative engine stands out in the market, offering significant performance enhancements that can lead to substantial savings for businesses leveraging generative AI technologies.

Key Features and Benefits

1. Friendli Engine boasts a throughput that is 10.7 times higher than traditional models, alongside a latency reduction of 6.2 times. This means users can expect faster response times and improved user experiences when deploying LLMs.

2. With the ability to slash operational costs by 50% to 90%, Friendli Engine is an attractive option for organizations looking to maximize their return on investment. The engine's optimization allows for fewer GPUs to be utilized, making it a budget-friendly choice.

3. The engine's capability to serve multiple LoRA models on a single GPU is a game-changer. This feature simplifies the customization of LLMs, making it easier for developers to implement tailored solutions without the need for extensive hardware resources.

4. Friendli Engine introduces iteration batching, a patented technology that significantly enhances the handling of concurrent generation requests. This innovation allows for a throughput increase of up to ten times compared to conventional methods, all while maintaining low latency.

5. The Friendli DNN Library is specifically designed for generative AI, featuring optimized GPU kernels that support various tensor shapes and data types. This library ensures that the engine can efficiently handle diverse model requirements, including quantization and Mixture of Experts.

6. Friendli TCache intelligently stores frequently used computational results, which reduces the workload on GPUs. This feature not only speeds up processing times but also enhances overall system efficiency.

7. By utilizing speculative decoding, Friendli Engine can make educated guesses about future tokens during inference. This technique accelerates the generation process while ensuring that the output remains consistent with the model's expectations.

8. The engine supports a wide array of generative AI models, including quantized versions, making it versatile for various applications. Users can easily deploy models like Llama 2 70B on a single GPU, achieving impressive efficiency without compromising accuracy.

9. Friendli Engine offers three distinct ways to run generative AI models: Dedicated Endpoints for automated model management, Friendli Container for serving inferences in GPU environments, and Serverless Endpoints for accessing fast APIs. This flexibility caters to different user needs and technical environments.

The Friendli Engine is a powerful tool for organizations seeking to enhance their generative AI capabilities. With its groundbreaking performance, cost savings, and advanced features, it positions itself as a leader in the LLM inference market. Whether you are a developer, researcher, or business leader, Friendli Engine provides the tools necessary to drive innovation and efficiency in your AI projects.

List of friendli features

• Fast LLM inference engine
• Cost savings
• Multi-LoRA serving
• Support for generative AI models
• Iteration batching technology
• Optimized DNN library
• Friendli TCache
• Speculative decoding
• Dedicated endpoints
• Container service
• Serverless endpoints
• Performance testing results
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• Contact information
• Company overview