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

About friendli

The Friendli Engine revolutionizes the deployment of large language models (LLMs) by delivering exceptional efficiency and cost savings. Its standout features make it a top choice for businesses eager to harness the power of generative AI.

First, the Friendli Engine achieves a throughput that is 10.7 times greater than traditional models, coupled with a latency reduction of 6.2 times. This means you can expect lightning-fast response times, significantly enhancing user experience when deploying LLMs.

Moreover, it can reduce operational costs by an impressive 50% to 90%. This optimization allows organizations to utilize fewer GPUs, making it a financially savvy option for maximizing ROI.

One of the most exciting aspects is its ability to serve multiple LoRA models on a single GPU, simplifying LLM customization. This feature empowers developers to create tailored solutions without the burden of extensive hardware.

The patented iteration batching technology boosts throughput by up to ten times while keeping latency low, making concurrent generation requests seamless. Additionally, the Friendli DNN Library is optimized for generative AI, supporting various tensor shapes and data types, ensuring efficient handling of diverse model requirements.

With intelligent caching and speculative decoding, the Friendli Engine accelerates processing and maintains output consistency. It supports a wide range of generative AI models, including quantized versions, allowing for impressive efficiency on a single GPU.

Finally, the engine offers three flexible deployment options: Dedicated Endpoints, Friendli Container, and Serverless Endpoints, catering to various user needs. The Friendli Engine is a game-changer for anyone looking to elevate their generative AI capabilities.

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
• Subscription to newsletter
• Contact information
• Company overview