Friendli Inference is a high-performance engine for serving large language models (LLMs) in production. It’s designed to maximize inference speed while reducing infrastructure load and GPU spend, helping teams run generative models with high throughput and low latency.
Optimized LLM inference
Friendli Inference applies specialized optimizations aimed at efficiency and performance:
- Reduce GPU costs by 50–90%
- Use up to 6× fewer GPUs compared to traditional approaches
- Higher performance in benchmarks versus vLLM and TensorRT-LLM, with up to 10.7× higher throughput and up to 6.2× lower latency
Built for production teams
The platform targets teams that need stable, cost-effective LLM serving at scale—from startups to large enterprises:
- API-based integration for existing services
- Scales with traffic growth
- Helps maximize utilization of current GPU resources without sacrificing generation speed
