Scaling AI in production shouldn't bankrupt your business.
If you rely on providers such as Fireworks AI or OpenAI, or you self-host with vLLM, you’ve likely hit the "Inference Wall": rising costs, throughput bottlenecks, and unpredictable latency. These are operational constraints with direct financial impact. Literally, margin killers.
FriendliAI offers a more efficient path.
By migrating to Friendli Inference, you gain access to the Orca Engine, which pioneers iteration-level scheduling that delivers 3x higher throughput and 99.99% reliability, with reported cost reductions in the 50–90% range depending on workload and scale.
Plus, our API is fully OpenAI-compatible. You can switch in 3 lines of code, preserve structured outputs and continue running agentic applications on models such as Qwen, DeepSeek, GLM, and Kimi without re-architecting your stack.
We are offering up to $50,000 in Switch Credits based on your current spend. Seize the moment and build a faster, more profitable AI stack.
If inference economics are becoming a strategic bottleneck, this is a lever worth evaluating →
*This opportunity is brought to our readers by the Friendli team. We appreciate their work on making inference more cost-efficient and their support of Turing Post’s mission to bring clarity to the AI landscape.
