Inference, maximized
Inference engineered for speed, scale, cost-efficiency, and reliability
The fastest inference platform
Turn latency into your competitive advantage. Our purpose-built stack delivers 2×+ faster inference, combining model-level breakthroughs — custom GPU kernels, smart caching, continuous batching, speculative decoding, and parallel inference — with infrastructure-level optimizations like advanced caching and multi-cloud scaling. The result is unmatched throughput, ultra-low latency, and cost efficiency that scale seamlessly across abundant GPU resources.
Guaranteed reliability, globally delivered
FriendliAI delivers 99.99% uptime SLAs with geo-distributed infrastructure and enterprise-grade fault tolerance. Your AI stays online and responsive through unpredictable traffic spikes and across global regions — scaling reliably with your business growth and backed by fleets of GPUs across regions. With built-in monitoring and compliance-ready architecture, you can trust FriendliAI to keep mission-critical workloads running wherever your users are.
490,000 models, ready to go
Instantly deploy any of 490,000 Hugging Face models — from language to audio to vision — with a single click. No setup or manual optimization required: FriendliAI takes care of deployment, scaling, and performance tuning for you. Need something custom? Bring your own fine-tuned or proprietary models, and we’ll help you deploy them just as seamlessly — with enterprise-grade reliability and control.
How teams scale with FriendliAI
Learn how leading companies achieve unmatched performance, scalability, and reliability with FriendliAI
Our custom model API went live in about a day with enterprise-grade monitoring built in.
Scale to trillions of tokens with 50% fewer GPUs, thanks to FriendliAI.
Rock-solid reliability with ultra-low tail latency.
Cutting GPU costs accelerated our path to profitability.
Fluctuating traffic is no longer a concern because autoscaling just works.
Our custom model API went live in about a day with enterprise-grade monitoring built in.
Scale to trillions of tokens with 50% fewer GPUs, thanks to FriendliAI.
Rock-solid reliability with ultra-low tail latency.
Cutting GPU costs accelerated our path to profitability.
Fluctuating traffic is no longer a concern because autoscaling just works.
Latest from FriendliAI
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LG AI Research Partners with FriendliAI to Launch EXAONE 4.0 for Fast, Scalable API
LG AI Research partners
Rethinking AI Inference Kubernetes Cluster Consistency with Atomic State Reconciliation
K-EXAONE Is Now Available on Friendli Serverless Endpoints
Serverless vs. Dedicated AI Inference: Choosing the Right Friendli Endpoint for Your Workload
MCP: Ushering in the Era of AI Agents
A Faster, Convenient Way to Discover and Deploy AI Models on FriendliAI
Enabling the Next Level of Efficient Agentic AI: FriendliAI Supports NVIDIA Nemotron 3 Nano Launch
GLM-4.6, MiniMax-M2, and Ministral-3 Now Available on FriendliAI
Why We Built a Unified Tool-Call Config Generator and Parser for Frontier Models
Enterprise Features Now Available on Friendli Dedicated Endpoints (Basic Plan)
FriendliAI Achieves 3× Faster Qwen3 235B Inference Compared to vLLM Infrastructure
FriendliAI Partners with Nebius to Deliver High-Performance, Cost-Efficient AI Inference
Customizing Chat Templates in LLMs
FriendliAI Secures $20M to Redefine AI Inference
The Rise of MoE: Comparing 2025’s Leading Mixture-of-Experts AI Models
Partnering with Linkup: Built‑in AI Web Search in Friendli Serverless Endpoints
Introducing N-gram Speculative Decoding: Faster Inference for Structured Tasks
WBA: The Community-Driven Platform for Blind Testing the World’s Best AI Models
Announcing Online Quantization: Faster, Cheaper Inference with Same Accuracy
LG AI Research Partners with FriendliAI to Launch EXAONE 4.0 for Fast, Scalable API
