+
+

Related Products

  • Runpod
    230 Ratings
    Visit Website
  • Compute with Hivenet
    4 Ratings
    Visit Website
  • Gemini Enterprise Agent Platform
    1,161 Ratings
    Visit Website
  • LM-Kit.NET
    29 Ratings
    Visit Website
  • Google AI Studio
    41 Ratings
    Visit Website
  • IONOS Cloud GPU Servers
    45,340 Ratings
    Visit Website
  • StackAI
    55 Ratings
    Visit Website
  • Anaconda
    625 Ratings
    Visit Website
  • Expedience Software
    34 Ratings
    Visit Website
  • Adobe Firefly
    25,051 Ratings
    Visit Website

About

FriendliAI is a generative AI infrastructure platform that offers fast, efficient, and reliable inference solutions for production environments. It provides a suite of tools and services designed to optimize the deployment and serving of large language models (LLMs) and other generative AI workloads at scale. Key offerings include Friendli Endpoints, which allow users to build and serve custom generative AI models, saving GPU costs and accelerating AI inference. It supports seamless integration with popular open source models from the Hugging Face Hub, enabling lightning-fast, high-performance inference. FriendliAI's cutting-edge technologies, such as Iteration Batching, Friendli DNN Library, Friendli TCache, and Native Quantization, contribute to significant cost savings (50–90%), reduced GPU requirements (6× fewer GPUs), higher throughput (10.7×), and lower latency (6.2×).

About

Highly scalable and standards-based model inference platform on Kubernetes for trusted AI. KServe is a standard model inference platform on Kubernetes, built for highly scalable use cases. Provides performant, standardized inference protocol across ML frameworks. Support modern serverless inference workload with autoscaling including a scale to zero on GPU. Provides high scalability, density packing, and intelligent routing using ModelMesh. Simple and pluggable production serving for production ML serving including prediction, pre/post-processing, monitoring, and explainability. Advanced deployments with the canary rollout, experiments, ensembles, and transformers. ModelMesh is designed for high-scale, high-density, and frequently-changing model use cases. ModelMesh intelligently loads and unloads AI models to and from memory to strike an intelligent trade-off between responsiveness to users and computational footprint.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

AI infrastructure engineers wanting a solution to manage AI models across various workloads

Audience

Developers and professionals searching for a model inference platform on Kubernetes

Support

Phone Support Supported
24/7 Live Support Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

$5.9 per hour
Free Version Supported
Free Trial Not Supported

Pricing

Free
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

FriendliAI
Founded: 2021
United States
friendli.ai/

Company Information

KServe
kserve.github.io/website/latest/

Alternatives

Alternatives

Categories

AI Fine-Tuning Supported
AI Inference Supported
Generative AI Supported
LLM API Supported

Categories

AI Inference Supported
Machine Learning Supported

Integrations

Kubernetes Supported
NVIDIA DRIVE Supported
Amazon Web Services (AWS) Supported
Bloomberg Not Supported
Gemma 4 Supported
Gojek Not Supported
Hugging Face Supported
IBM Cloud Not Supported
Kubeflow Not Supported
LangChain Supported
LiteLLM Supported
Meta AI Supported
Microsoft Azure Supported
NAVER Not Supported
Poe Supported
Prometheus Supported
Weaviate Supported
ZenML Not Supported
Zillow Not Supported
vLLM Not Supported

Integrations

Kubernetes Supported
NVIDIA DRIVE Supported
Amazon Web Services (AWS) Not Supported
Bloomberg Supported
Gemma 4 Not Supported
Gojek Supported
Hugging Face Not Supported
IBM Cloud Supported
Kubeflow Supported
LangChain Not Supported
LiteLLM Not Supported
Meta AI Not Supported
Microsoft Azure Not Supported
NAVER Supported
Poe Not Supported
Prometheus Not Supported
Weaviate Not Supported
ZenML Supported
Zillow Supported
vLLM Supported
Claim FriendliAI and update features and information
Claim FriendliAI and update features and information
Claim KServe and update features and information
Claim KServe and update features and information