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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

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

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

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

Integrations

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

Pricing Details

Free
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

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

Product Features

Alternatives

Alternatives