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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

Knative, initially developed by Google and supported by contributions from more than 50 companies, provides a vital suite of components for creating and operating serverless applications on Kubernetes. It includes capabilities such as scale-to-zero, autoscaling, in-cluster builds, and a robust eventing framework tailored for cloud-native environments. Knative effectively standardizes best practices gleaned from successful Kubernetes-based frameworks, whether deployed on-premises, in the cloud, or within third-party data centers. This platform empowers developers, allowing them to concentrate on writing code and innovating without getting bogged down by the challenging yet mundane aspects of application development, deployment, and management. Additionally, Knative's design fosters a more efficient development process, making it easier to integrate and utilize modern technologies.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Kubernetes Yes 
Ambassador No 
Batteries Included No 
BentoML No 
Bloomberg Yes 
Citrus No 
Docker Yes 
Gojek Yes 
Google Cloud Platform No 
Google Cloud Pub/Sub No 
Google Cloud Tekton No 
IBM Cloud Yes 
Kubeflow Yes 
MicroK8s No 
NAVER Yes 
ZenML Yes 
Zillow Yes 
txtai No 
vLLM Yes 

Integrations

Kubernetes Yes 
Ambassador Yes 
Batteries Included Yes 
BentoML Yes 
Bloomberg No 
Citrus Yes 
Docker No 
Gojek No 
Google Cloud Platform Yes 
Google Cloud Pub/Sub Yes 
Google Cloud Tekton Yes 
IBM Cloud No 
Kubeflow No 
MicroK8s Yes 
NAVER No 
ZenML No 
Zillow No 
txtai Yes 
vLLM No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version Yes 

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 Yes 
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 No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

KServe

Website

kserve.github.io/website/latest/

Vendor Details

Company Name

Google

Website

cloud.google.com/knative

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

Application Development

Access Controls/Permissions Yes 
Code Assistance Yes 
Code Refactoring Yes 
Collaboration Tools Yes 
Compatibility Testing Yes 
Data Modeling Yes 
Debugging Yes 
Deployment Management No 
Graphical User Interface Yes 
Mobile Development No 
No-Code No 
Reporting/Analytics Yes 
Software Development Yes 
Source Control No 
Testing Management Yes 
Version Control Yes 
Web App Development Yes 

Serverless

API Proxy No 
Application Integration Yes 
Data Stores No 
Developer Tooling No 
Orchestration No 
Reporting / Analytics No 
Serverless Computing Yes 
Storage No 

Alternatives

Alternatives

Apache OpenWhisk Reviews

Apache OpenWhisk

The Apache Software Foundation