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Average Ratings 0 Ratings

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ease
features
design
support

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Description

KServe is a robust model inference platform on Kubernetes that emphasizes high scalability and adherence to standards, making it ideal for trusted AI applications. This platform is tailored for scenarios requiring significant scalability and delivers a consistent and efficient inference protocol compatible with various machine learning frameworks. It supports contemporary serverless inference workloads, equipped with autoscaling features that can even scale to zero when utilizing GPU resources. Through the innovative ModelMesh architecture, KServe ensures exceptional scalability, optimized density packing, and smart routing capabilities. Moreover, it offers straightforward and modular deployment options for machine learning in production, encompassing prediction, pre/post-processing, monitoring, and explainability. Advanced deployment strategies, including canary rollouts, experimentation, ensembles, and transformers, can also be implemented. ModelMesh plays a crucial role by dynamically managing the loading and unloading of AI models in memory, achieving a balance between user responsiveness and the computational demands placed on resources. This flexibility allows organizations to adapt their ML serving strategies to meet changing needs efficiently.

Description

kgateway is a widely deployed Kubernetes gateway designed to power modern microservices and AI-driven workloads. It serves as a control plane for advanced ingress, API management, and AI gateway use cases. Built on Envoy and open-source foundations, kgateway implements the Kubernetes Gateway API for consistent, cloud-native connectivity. The platform aggregates APIs and applies authentication, authorization, and rate limiting in one centralized layer. Kgateway also protects AI models, tools, and agents by securing LLM consumption and data access. Intelligent routing capabilities support AI inference workloads directly inside Kubernetes clusters. The platform scales from lightweight microgateways to massively parallel centralized gateways. Kgateway supports agent-to-agent and MCP-based communication through a single secure endpoint. It enables omni-directional API connectivity across hybrid and multi-cloud environments. Kgateway helps organizations innovate faster while maintaining security and governance.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Kubernetes Yes 
Amazon Web Services (AWS) No 
Ambient Mesh No 
Bloomberg Yes 
Docker Yes 
Flux CD No 
Gojek Yes 
Google Cloud Platform No 
HubSpot Customer Platform No 
IBM Cloud Yes 
Kubeflow Yes 
Microsoft Azure No 
NAVER Yes 
Rackspace OpenStack No 
Solo Enterprise No 
ZenML Yes 
Zillow Yes 
agentgateway No 
vLLM Yes 

Integrations

Kubernetes Yes 
Amazon Web Services (AWS) Yes 
Ambient Mesh Yes 
Bloomberg No 
Docker No 
Flux CD Yes 
Gojek No 
Google Cloud Platform Yes 
HubSpot Customer Platform Yes 
IBM Cloud No 
Kubeflow No 
Microsoft Azure Yes 
NAVER No 
Rackspace OpenStack Yes 
Solo Enterprise Yes 
ZenML No 
Zillow No 
agentgateway Yes 
vLLM No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

KServe

Website

kserve.github.io/website/latest/

Vendor Details

Company Name

Cloud Native Computing Foundation

Country

United States

Website

kgateway.dev/

Product Features

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

Product Features

API Management

API Design No 
API Lifecycle Management No 
Access Control Yes 
Analytics Yes 
Dashboard Yes 
Developer Portal Yes 
Testing Management No 
Threat Protection Yes 
Traffic Control Yes 
Version Control Yes 

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