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What is Quarkus?

Quarkus tailors your application to function effortlessly with both GraalVM and HotSpot, showcasing an exceptionally fast boot time and remarkably low RSS memory consumption that extends beyond just heap size. This design allows for near-instantaneous scaling and efficient memory management within container orchestration systems like Kubernetes, thanks to a strategy known as compile time boot. Quarkus provides a cohesive, enjoyable full-stack framework by harnessing a growing array of over fifty top-tier libraries that are cherished by developers. It cultivates a unified ecosystem aimed at boosting developer satisfaction through consistent configuration and easy native executable creation. With no configuration needed, instant live reload features, and simplified code that addresses 80% of typical use cases while still being flexible for the remaining 20%, Quarkus stands out for its adaptability. The collaboration between Quarkus and Kubernetes creates an ideal setup for building applications that are fast, scalable, and lightweight. In addition, Quarkus significantly boosts developer productivity with its extensive tooling, pre-built integrations, application services, and a variety of extra resources, which ultimately leads to more efficient workflows. Furthermore, Quarkus's commitment to enhancing the developer experience ensures that the application-building process remains not only effective but also enjoyable and engaging for developers at all levels.

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

Amazon Corretto
Bloomberg
Docker
Gojek
HtmlUnit
IBM Cloud
IntelliJ IDEA
Java
Kubeflow
Kubernetes
NAVER
NVIDIA DRIVE
OpenTelemetry
Red Hat Runtimes
VLLM
ZenML
Zillow

Integrations Supported

Amazon Corretto
Bloomberg
Docker
Gojek
HtmlUnit
IBM Cloud
IntelliJ IDEA
Java
Kubeflow
Kubernetes
NAVER
NVIDIA DRIVE
OpenTelemetry
Red Hat Runtimes
VLLM
ZenML
Zillow

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

Quarkus

Company Website

quarkus.io

Company Facts

Organization Name

KServe

Company Website

kserve.github.io/website/latest/

Categories and Features

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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