Run high-performance production inference on infrastructure built for billion- and trillion-token daily workloads. Get the speed, reliability, and efficiency you need to grow—plus up to $50K in inference credits to get started.
Many teams can get to prototype quickly, but production scale introduces new constraints: latency spikes, throughput ceilings, infrastructure complexity, and rising cost. FriendliAI helps teams scale open-model inference with the performance, reliability, and efficiency needed for real production demand—without forcing major application changes.
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First
Submit the form with your details and current provider bill
Second
We review and approve your credit amount
Third
Start running inference on FriendliAI using your credits
"Friendli Inference has enabled us to scale our operations cost-efficiently, allowing us to process over trillions of tokens each month with exceptional efficiency while cutting our GPUs by 50%. The performance and cost savings consistently exceed our expectations. After exploring open-source options, I cannot overstate the value and peace of mind FriendliAI brings to the table. It has become essential to driving our growth."
"EXAONE models run incredibly fast on FriendliAI’s inference platform, and users are highly satisfied with the performance. With FriendliAI’s support, customers have been able to shorten the time required to test and evaluate EXAONE by several weeks. This has enabled them to integrate EXAONE into their services more quickly, accelerating adoption and driving real business impact."
FriendliAI is The Frontier AI Inference Cloud. Built by the researchers who invented continuous batching, FriendliAI provides AI engineers with a highly optimized engine that runs state-of-the-art open-weight and custom models at production scale with 99.99% reliability. By maximizing GPU utilization, FriendliAI delivers speeds up to 3x faster than vLLM and 50% to 90% cost savings relative to closed model APIs, empowering engineers to deploy frontier AI with uncompromising speed and model ownership.
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