FriendliAI

Accelerates LLM inference with low latency and cost savings. FriendliAI is The Frontier AI Inference Cloud. Built by the researchers who invented the continuous batching technique that is now industry standard, FriendliAI provides AI engineers with a highly optimized engine that constantly evolves to efficiently run state-of-the-art open-weight and custom models at production scale. By maximizing GPU utilization, FriendliAI delivers speeds up to 3x faster than vLLM, and 50% to 90% cost savings relative to closed model APIs. FriendliAI empowers engineers to deploy frontier AI with uncompromising speed, model ownership, and enterprise-grade reliability. FriendliAI handles thousands of open source LLMs and multimodal models from Hugging Face, including Llama, Mixtral, and Qwen. Autoscaling dynamically allocates GPUs based on real time demand, scaling to zero during idle periods to save costs. Upload or import custom models from Hugging Face or Weights and Biases for tailored inference. Options include FP8, INT8, AWQ, and 4Bit for efficient serving with minimal accuracy loss. Friendli Container enables secure deployment in your Kubernetes cluster or VPC. FriendliAI offers higher production throughput and lower latency than vLLM, especially under variable loads.