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Description
FriendliAI serves as an advanced generative AI infrastructure platform that delivers rapid, efficient, and dependable inference solutions tailored for production settings. The platform is equipped with an array of tools and services aimed at refining the deployment and operation of large language models (LLMs) alongside various generative AI tasks on a large scale. Among its key features is Friendli Endpoints, which empowers users to create and implement custom generative AI models, thereby reducing GPU expenses and hastening AI inference processes. Additionally, it facilitates smooth integration with well-known open-source models available on the Hugging Face Hub, ensuring exceptionally fast and high-performance inference capabilities. FriendliAI incorporates state-of-the-art technologies, including Iteration Batching, the Friendli DNN Library, Friendli TCache, and Native Quantization, all of which lead to impressive cost reductions (ranging from 50% to 90%), a significant decrease in GPU demands (up to 6 times fewer GPUs), enhanced throughput (up to 10.7 times), and a marked decrease in latency (up to 6.2 times). With its innovative approach, FriendliAI positions itself as a key player in the evolving landscape of generative AI solutions.
Description
RunInfra effortlessly transforms natural language into fully operational AI inference endpoints. By simply describing your requirements, the AI agent autonomously constructs, refines, deploys, and scales your project without the need for YAML configurations, DevOps expertise, or GPU setup—just a conversation. Designed specifically for delivering open-source AI models as production-ready APIs, it intelligently chooses suitable models, benchmarks actual GPU performance, implements kernel enhancements, and establishes HTTP endpoints compatible with OpenAI. RunInfra is capable of creating diverse applications including language models, speech recognition, text-to-speech, embeddings, vision-language tasks, image generation, retrieval-augmented generation (RAG) searches, document analysis, transcription services, AI assistants, and complex multi-model reasoning frameworks, contingent on the runtime and model capabilities. Its streamlined workflow progresses seamlessly from your initial description to optimization, deployment, and integration; simply inform RunInfra of your needs, and it will evaluate real GPU options from L4 to B200, explore model variants like AWQ, GPTQ, and FP8, fine-tune kernels using Forge, and deliver a fully functional endpoint compatible with OpenAI’s Python and JavaScript SDKs. The efficiency and simplicity of RunInfra make it a valuable asset for developers aiming to leverage advanced AI technologies without the typical complexities involved.
API Access
Has API
API Access
Has API
Integrations
Hugging Face
Amazon Web Services (AWS)
DeepSeek
Gemma 3
Gemma 4
Grafana Cloud
JavaScript
Kubernetes
LangChain
LiteLLM
Integrations
Hugging Face
Amazon Web Services (AWS)
DeepSeek
Gemma 3
Gemma 4
Grafana Cloud
JavaScript
Kubernetes
LangChain
LiteLLM
Pricing Details
$5.9 per hour
Free Trial
Free Version
Pricing Details
$100 per month
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
FriendliAI
Founded
2021
Country
United States
Website
friendli.ai/
Vendor Details
Company Name
RunInfra
Founded
2026
Country
Jordan
Website
runinfra.ai/
Product Features
Product Features
Alternatives
Alternatives
No Alternatives