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What is KServe?

KServe stands out as a powerful model inference platform designed for Kubernetes, prioritizing extensive scalability and compliance with industry standards, which makes it particularly suited for reliable AI applications. This platform is specifically crafted for environments that demand high levels of scalability and offers a uniform and effective inference protocol that works seamlessly with multiple machine learning frameworks. It accommodates modern serverless inference tasks, featuring autoscaling capabilities that can even reduce to zero usage when GPU resources are inactive. Through its cutting-edge ModelMesh architecture, KServe guarantees remarkable scalability, efficient density packing, and intelligent routing functionalities. The platform also provides easy and modular deployment options for machine learning in production settings, covering areas such as prediction, pre/post-processing, monitoring, and explainability. In addition, it supports sophisticated deployment techniques such as canary rollouts, experimentation, ensembles, and transformers. ModelMesh is integral to the system, as it dynamically regulates the loading and unloading of AI models from memory, thus maintaining a balance between user interaction and resource utilization. This adaptability empowers organizations to refine their ML serving strategies to effectively respond to evolving requirements, ensuring that they can meet both current and future challenges in AI deployment.

What is FriendliAI?

FriendliAI is an innovative platform that acts as an advanced generative AI infrastructure, designed to offer quick, efficient, and reliable inference solutions specifically for production environments. This platform is loaded with a variety of tools and services that enhance the deployment and management of large language models (LLMs) and diverse generative AI applications on a significant scale. One of its standout features, Friendli Endpoints, allows users to develop and deploy custom generative AI models, which not only lowers GPU costs but also accelerates the AI inference process. Moreover, it ensures seamless integration with popular open-source models found on the Hugging Face Hub, providing users with exceptionally rapid and high-performance inference capabilities. FriendliAI employs cutting-edge technologies such as Iteration Batching, the Friendli DNN Library, Friendli TCache, and Native Quantization, resulting in remarkable cost savings (between 50% and 90%), a drastic reduction in GPU requirements (up to six times fewer), enhanced throughput (up to 10.7 times), and a substantial drop in latency (up to 6.2 times). As a result of its forward-thinking strategies, FriendliAI is establishing itself as a pivotal force in the dynamic field of generative AI solutions, fostering innovation and efficiency across various applications. This positions the platform to support a growing number of users seeking to harness the power of generative AI for their specific needs.

Media

Media

Integrations Supported

Kubernetes
NVIDIA DRIVE
Amazon Web Services (AWS)
Bloomberg
DeepSeek
Gemma 3
Grafana
Hugging Face
Kubeflow
LangChain
LiteLLM
Llama 3.3
Meta AI
Microsoft Azure
MongoDB
Prometheus
Qwen
VLLM
ZenML

Integrations Supported

Kubernetes
NVIDIA DRIVE
Amazon Web Services (AWS)
Bloomberg
DeepSeek
Gemma 3
Grafana
Hugging Face
Kubeflow
LangChain
LiteLLM
Llama 3.3
Meta AI
Microsoft Azure
MongoDB
Prometheus
Qwen
VLLM
ZenML

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

$5.9 per hour
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

KServe

Company Website

kserve.github.io/website/latest/

Company Facts

Organization Name

FriendliAI

Date Founded

2021

Company Location

United States

Company Website

friendli.ai/

Categories and Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Categories and Features

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