FriendliAI

FriendliAI: LLM Inference Platform

FriendliAI is LLM inference platform with serverless, dedicated, and containerized deployment options. Inference cost has become the single largest line item in many production LLM applications. FriendliAI's pitch is proprietary inference optimizations — claimed 50-90% cost reduction vs competing providers — combined with deployment flexibility from serverless to dedicated to on-prem containers.

Key Features

• LLM inference platform with serverless, dedicated, and containerized deployment options
• Founded in 2021 in Seoul, South Korea by Byung-Gon Chun (Seoul National University professor)
• Approximately $30M+ Series A; backed by Korea Development Bank, Mirae Asset, and others
• Proprietary inference optimizations claim 50-90% cost reduction vs competing providers
• Friendli Container for on-prem and air-gapped enterprise deployment
• Supports popular open-weight models (Llama, Mistral, Mixtral, Qwen, DeepSeek) plus custom fine-tunes
• Used by Korean enterprises and increasingly Western customers seeking inference cost reduction

Ideal Use Case

Companies running production LLM workloads at scale that want to reduce inference cost — particularly customers comparing Together AI, Fireworks, and Anyscale, or running on-prem deployment for data sovereignty.

Why Use FriendliAI

Inference cost has become the single largest line item in many production LLM applications. FriendliAI's pitch is proprietary inference optimizations — claimed 50-90% cost reduction vs competing providers — combined with deployment flexibility from serverless to dedicated to on-prem containers.

FAQ

Q: Who founded FriendliAI? A: Byung-Gon Chun, a professor at Seoul National University, founded FriendliAI in 2021.

Q: How much has FriendliAI raised? A: Approximately $30M+ Series A with participation from Korea Development Bank, Mirae Asset, and other strategic investors.

Q: What models does FriendliAI support? A: FriendliAI supports popular open-weight models including Llama, Mistral, Mixtral, Qwen, and DeepSeek, plus custom fine-tunes uploaded by customers.

Q: FriendliAI vs Together AI vs Fireworks? A: All three are LLM inference platforms. FriendliAI's differentiation is its proprietary inference optimizations (claimed 50-90% cost reduction) and on-prem container deployment for enterprises with data-sovereignty requirements.

Q: Is FriendliAI available on-prem? A: Yes — Friendli Container is the on-prem and air-gapped deployment option for enterprises with data-sovereignty or regulated-industry requirements.

tl;dr

FriendliAI is the LLM inference platform with serverless, dedicated, and containerized deployment options. Proprietary inference optimizations claim 50-90% cost reduction vs Together AI / Fireworks. ~$30M+ Series A. Korea Development Bank-backed. On-prem container for data sovereignty.

Related

Looking for more options? Browse the AI Infrastructure directory or read our best AI infrastructure tools listicle. FriendliAI is also tracked on Crunchbase.