LLM Reference
FriendliAI Serverless Endpoints

FriendliAI Serverless Endpoints

Researched 198d agoInference PlatformTier 3

FriendliAI

AIKorea

FriendliAI Serverless Endpoints does not have tracked models in LLMReference yet — open the provider docs link above or browse the models index for adjacent hosts.

Covers 0 workload areas across 0 tracked models; last verified 2026-01-01.

Use it for

  • Getting oriented before committing to a specific model

Do not use it for

  • Final benchmark picks without opening the relevant model detail page

Tracked models

0

Models available through this provider

Priced output routes

0

Output pricing not yet tracked

Cheapest output

Unknown

Output pricing not yet tracked

Batch-ready models

0

No batch pricing tracked

Latest model release

Unknown

Release date of the newest tracked model

Freshness

2026-01-01

Researched 198d ago

stale

Information

TypeInference Platform
TierTier 3
Models0
CompanyFriendliAI
Founded2021
Redwood City, California, United States

FriendliAI empowers organizations to maximize the potential of their generative AI models with ease and cost-efficiency. Their platform offers high-performance, low-cost LLM inference serving software and services, enabling efficient deployment and management of large language models (LLMs). FriendliAI's solutions include Friendli Dedicated Endpoints and Friendli Container, which provide optimized inference performance for various LLMs, including Snowflake Arctic Instruct, LG AI Research EXAONE 3.0, and Meta's Llama 3 series. The company specializes in machine learning, deep learning, and artificial intelligence platforms, offering MLaaS (Machine Learning as a Service) and LLM serving capabilities. FriendliAI's technology can reduce inference costs by 50-90% while maintaining high performance, making it an attractive option for organizations looking to implement generative AI solutions cost-effectively.

Catalog freshness

No confirmed release dates yet for the models tracked on this provider.

Where this host wins

Not enough capability or benchmark coverage yet to call strengths for this provider.

Getting started

Official product, docs, and pricing links — confirm quotas and regions in the vendor docs.

Compliance notes

No verified compliance claims (SOC 2, ISO, HIPAA) tracked for this provider yet — check the vendor's trust center for current certifications.

Platform Overview

FriendliAI's AI platform offers a comprehensive solution for deploying and managing generative AI models through its core services: Friendli Dedicated Endpoints and Friendli Container. The Dedicated Endpoints provide users with dedicated GPU instances, enabling high-performance access to AI models while automating critical tasks such as failure management and resource allocation. This service delivers impressive performance, with query response times up to ten times faster than traditional solutions and potential cost savings of 50% to 90% on GPU usage. The platform is designed to cater to users with varying levels of technical expertise, making it accessible for both developers and businesses. Complementing the Dedicated Endpoints, the Friendli Container allows users to run their generative AI models within a Docker environment, offering greater flexibility and control over resources. The platform's Friendli Engine further enhances performance by reducing GPU requirements by up to 6-7 times, resulting in cost efficiencies of 40% to 80% compared to competitors. These features collectively enable organizations to leverage advanced AI capabilities efficiently, streamlining the process of implementing and scaling AI solutions while minimizing the complexities of infrastructure management.

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