Friendli Container (Contract-based pricing)

Friendli Container delivers FriendliAI's high-performance inference engine as a portable, production-ready Docker container that runs on your infrastructure-whether in Amazon EKS, private cloud, or on-premise environments. It enables enterprises to securely serve generative AI models and custom fine-tunes with up to 3x faster output and 50-90% lower GPU usage compared to open-source stacks. Designed for organizations with strict data security, compliance, and performance requirements, Friendli Container supports full VPC isolation. It integrates natively with Prometheus and Grafana for real-time observability, allowing teams to track throughput, latency, TTFT, and caching efficiency at production scale. Friendli's patented technologies-like Continuous Batching™, Friendli TCache, and optimized quantization-enable extremely low-latency inference without sacrificing model quality. Typical use cases include deploying multimodal generative AI models behind the firewall to meet regulatory or privacy constraints, running RAG-enhanced enterprise search systems, serving fine-tuned models for customer service or agent tasks, and powering AI APIs that demand sub-second response times under fluctuating load. Friendli Container comes with a high-level Kubernetes CRD(Custom Resource Definition), so launching an inference endpoint is as easy as launching a Deployment in Kubernetes. If you need fast, flexible, and secure generative AI inference across text, image, and code without over-provisioning GPUs or stitching together infrastructure, Friendli Container is your drop-in solution for scalable, cost-effective AI deployment.