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What is kgateway?

kgateway is a next-generation Kubernetes gateway platform built to support both microservices and AI agent ecosystems. It provides a unified control plane for API gateways, AI gateways, inference routing, and agent-to-agent communication. Built on Envoy and open standards, kgateway fully implements the Kubernetes Gateway API. The platform allows teams to aggregate APIs and enforce authentication, authorization, and rate limiting centrally. Kgateway secures LLM usage by protecting models, tools, agents, and sensitive data. It includes an inference gateway to intelligently route requests to generative AI workloads running in Kubernetes. Kgateway supports native MCP and agent-to-agent communication for scalable AI systems. The platform scales from small service-to-service gateways to enterprise-grade deployments handling billions of API calls. It enables advanced traffic management, resilience testing, and security controls. Originally launched as Gloo, kgateway has evolved into one of the most trusted gateways in the Kubernetes ecosystem. It supports hybrid, multi-cloud, and on-prem environments seamlessly. Kgateway empowers teams to build secure, resilient, and AI-ready infrastructure.

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.

Media

Media

Integrations Supported

Kubernetes
Amazon Web Services (AWS)
Ambient Mesh
Docker
Flux CD
Gojek
HashiCorp Nomad
HubSpot Customer Platform
IBM Cloud
Kubeflow
Microsoft Azure
NAVER
NVIDIA DRIVE
Rackspace OpenStack
Solo Enterprise
VMware vSphere
ZenML
Zillow
agentgateway

Integrations Supported

Kubernetes
Amazon Web Services (AWS)
Ambient Mesh
Docker
Flux CD
Gojek
HashiCorp Nomad
HubSpot Customer Platform
IBM Cloud
Kubeflow
Microsoft Azure
NAVER
NVIDIA DRIVE
Rackspace OpenStack
Solo Enterprise
VMware vSphere
ZenML
Zillow
agentgateway

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Free
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

Cloud Native Computing Foundation

Company Location

United States

Company Website

kgateway.dev/

Company Facts

Organization Name

KServe

Company Website

kserve.github.io/website/latest/

Categories and Features

API Management

API Design
API Lifecycle Management
Access Control
Analytics
Dashboard
Developer Portal
Testing Management
Threat Protection
Traffic Control
Version Control

Categories and Features

Machine Learning

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

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