FriendliAI, formerly associated with PeriFlow, provides infrastructure for serving, optimizing, and operating generative AI models through managed endpoints and deployment tooling.
Engineering teams select or bring a supported model, configure serving and scaling, test latency and accuracy, secure endpoints, monitor usage, and deploy with operational safeguards.
Commercial pricing depends on models, hardware, throughput, hosting, regions, support, and enterprise commitments; no single self-serve monthly price covers every deployment.
Model serving can expose prompts, leak data, overspend compute, fail under load, or produce unsafe responses. Security, observability, rate limits, evaluations, and incident response are necessary.
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