Built for high inference volume and low-latency requirements.

Switch to FriendliAI,
Get Up to $50,000 Inference Credits

Already running open models on Fireworks AI, Together AI, Google Vertex AI, or Baseten? Switch your inference infrastructure to FriendliAI for 99.99% reliability, 3x throughput, and up to 90% cost savings—with minimal changes to your stack.

Migrate from Fireworks AI, Together AI, Google Vertex AI, Baseten or any inference provider

Many teams already run open-source models—then hit bottlenecks as traffic grows: latency variance, throughput ceilings, and scaling overhead. FriendliAI is an inference platform that helps teams switch to open models with lower latency, higher throughput, and up to 90% lower inference costs without changing their application.

Up to $10,000 in free GPU inference credits

Sub-second latency, even at scale

Traffic-aware autoscaling

Over 400,000 Hugging Face and custom model support

No setup, no maintenance

Quick onboarding, technical support included

Same Capability, Lower Cost
Teams running inference at scale on any provider know costs add up quickly. FriendliAI improves cost efficiency per GPU as volume grows.
Faster throughput, lower latency
FriendliAI outperforms vLLM-based systems in both throughput and latency.
Ready for agentic apps
FriendliAI provides stable, reliable function-calling APIs for models like Qwen, DeepSeek, and GLM, ensuring predictable structured outputs, allowing teams to build and run agentic applications seamlessly.
Switch with minimal effort
Migration is simple and fast. FriendliAI is OpenAI-compatible, so most teams can switch with as little as three lines of code.
FriendliAI vs vLLM
We benchmarked Qwen3 235B on FriendliAI’s platform and compared it against a platform built on vLLM.
The results show 3x higher throughput and better efficiency benefits that matter most when you have high inference volume and tight latency requirements
Same Capability, Lower Cost
Teams using OpenAI or Anthropic are already running inference at scale — which means costs add up quickly.
Faster throughput, lower latency
FriendliAI outperforms OpenAI and vLLM-based systems in both throughput and latency.
Ready for agentic apps
FriendliAI provides stable, reliable function-calling APIs for models like Qwen, DeepSeek, and GLM, ensuring predictable structured outputs, allowing teams to build and run agentic applications seamlessly.
Switch with minimal effort
Migration is simple and fast. FriendliAI is OpenAI-compatible, so most teams can switch with as little as three lines of code.
FriendliAI vs vLLM
We benchmarked Qwen3 235B on FriendliAI’s platform and compared it against a platform built on vLLM.
These results illustrate that FriendliAI delivers superior throughput and efficiency on large-scale MoE models like Qwen3 235B. In particular, long-output scenarios benefit significantly.
Same Capability, Lower Cost
Teams using OpenAI or Anthropic are already running inference at scale — which means costs add up quickly.
Faster throughput, lower latency
FriendliAI outperforms OpenAI and vLLM-based systems in both throughput and latency.
Ready for agentic apps
FriendliAI provides stable, reliable function-calling APIs for models like Qwen, DeepSeek, and GLM, ensuring predictable structured outputs, allowing teams to build and run agentic applications seamlessly.
Switch with minimal effort
Migration is simple and fast. FriendliAI is OpenAI-compatible, so most teams can switch with as little as three lines of code.
FriendliAI vs vLLM
We benchmarked Qwen3 235B on FriendliAI’s platform and compared it against a platform built on vLLM.
These results illustrate that FriendliAI delivers superior throughput and efficiency on large-scale MoE models like Qwen3 235B. In particular, long-output scenarios benefit significantly.
Switch and Save

Built for Inference.
Not Retro‑Fitted.

Already using open models on Fireworks, Together AI, vLLM, or Google Vertex AI?

Switch your inference infrastructure to FriendliAI for 99.99% reliability and production-grade performance under real traffic.

Using OpenAI or Anthropic today?

Run open models like GLM-5, Qwen, DeepSeek, or Llama on FriendliAI to reduce cost while preserving accuracy

What you Get
Up to 50K Switch Credit based on your
current inference spend
99.99% reliability, 3x throughput,
and 50–90% cost savings.
Access to 500,000+ Hugging Face
and custom models
Switch with 3 lines of Code
What You Provide
Your contact information
Company / employer
A recent invoice or bill from your current inference provider
No migration required before approval.

3 Quick Steps

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."

FriendliAI Customer
NextDay AI

"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."

Clayton Park
AI Business Team Lead, LG AI Research

Ready to Switch
and Save?

Get up to $50,000 in inference credits when you move to FriendliAI.

Credits subject to review and approval. Offer available for a limited time.