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What is ORBexpress?

The ORBexpress® line of products showcases OIS's cutting-edge implementation of CORBA technology, providing a high-efficiency solution. By embracing a standards-driven methodology, developers are able to craft applications that shine in terms of portability and interoperability. The use of a commercially supported ORB allows these developers to focus more on application creation rather than the intricacies of system-level coding. ORBexpress acts as a standards-compliant alternative to proprietary communication protocols, all while minimizing application overhead and footprint. This technology simplifies the workflow for software developers, facilitating the development of distributed applications that are not only scalable and efficient but also robust, thus enabling quicker response to market needs. Designed with a focus on real-time, embedded, and high-performance development scenarios, the ORBexpress product suite combines outstanding performance with exceptional reliability, ensuring that applications operate effectively across a range of environments. Ultimately, it empowers developers to expand their innovative potential while preserving system stability and integrity, making it an invaluable asset in today's technology-driven landscape. Furthermore, ORBexpress encourages collaboration among developers, leading to shared knowledge and enhanced project outcomes.

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

Bloomberg
Docker
Gojek
IBM Cloud
Kubeflow
Kubernetes
NAVER
NVIDIA DRIVE
ZenML
Zillow
vLLM

Integrations Supported

Bloomberg
Docker
Gojek
IBM Cloud
Kubeflow
Kubernetes
NAVER
NVIDIA DRIVE
ZenML
Zillow
vLLM

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

Objective Interface Systems

Company Location

United States

Company Website

www.ois.com/Products/communications-middleware.html

Company Facts

Organization Name

KServe

Company Website

kserve.github.io/website/latest/

Categories and Features

Integration

Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services

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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