Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
Quarkus customizes your application to work seamlessly with both GraalVM and HotSpot. With its remarkably quick boot time and impressively low RSS memory usage (beyond just heap size!), it enables near-instant scaling and efficient memory use within container orchestration platforms such as Kubernetes. This is achieved through a method we refer to as compile time boot. Quarkus delivers a unified, enjoyable full-stack framework by utilizing a continuously expanding collection of over fifty top-tier libraries that developers appreciate and rely on. It creates a cohesive ecosystem focused on enhancing developer satisfaction, featuring consistent configuration and straightforward native executable generation. With zero configurations required, live reload capabilities that respond in an instant, and simplified code catering to the 80% of common use cases while remaining adaptable for the remaining 20%, Quarkus excels in flexibility. The synergy between Quarkus and Kubernetes establishes an optimal environment for developing applications that are not only scalable and fast but also lightweight. Moreover, Quarkus greatly enhances developer efficiency through its comprehensive tooling, pre-built integrations, application services, and various additional resources, ultimately paving the way for more productive workflows. In addition to these benefits, Quarkus's focus on developer experience ensures that building applications remains an engaging and efficient process.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
Amazon Corretto
No
Bloomberg
Yes
Docker
Yes
Gojek
Yes
HtmlUnit
No
IBM Cloud
Yes
IntelliJ IDEA
No
Java
No
Kubeflow
Yes
Kubernetes
Yes
Integrations
Amazon Corretto
Yes
Bloomberg
No
Docker
No
Gojek
No
HtmlUnit
Yes
IBM Cloud
No
IntelliJ IDEA
Yes
Java
Yes
Kubeflow
No
Kubernetes
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
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
No
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
Quarkus
Website
quarkus.io
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