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What is WEKA?

WEKA is a cutting-edge data platform designed to handle large-scale AI and HPC workloads across multiple environments, including cloud, on-premise, and hybrid clouds. Its ability to scale storage and compute independently allows users to manage millions or even billions of files without performance degradation. With integration capabilities for AI/ML workflows and accelerated data processing, WEKA is ideal for businesses and research labs needing fast, secure, and efficient access to data. The platform also focuses on sustainability by optimizing energy usage, making it a top choice for organizations looking to reduce their environmental footprint while maintaining high performance.

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

IBM Cloud
Altair Activate
Cisco CX Cloud
Dell EMC PowerFlex
Docker
Gojek
HP-UX
KX Insights
Kubeflow
Kubernetes
Lenovo ThinkAgile HX Series
NVIDIA DRIVE
Rancher
Scality
Seagate CORTX
Valohai
ZenML
vLLM

Integrations Supported

IBM Cloud
Altair Activate
Cisco CX Cloud
Dell EMC PowerFlex
Docker
Gojek
HP-UX
KX Insights
Kubeflow
Kubernetes
Lenovo ThinkAgile HX Series
NVIDIA DRIVE
Rancher
Scality
Seagate CORTX
Valohai
ZenML
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

WEKA

Date Founded

2013

Company Location

United States

Company Website

www.weka.io

Company Facts

Organization Name

KServe

Company Website

kserve.github.io/website/latest/

Categories and Features

Machine Learning

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

Workload Automation

Alerts / Notifications
Audit Trails
Business Process Management
Cross-Platform Scheduling
Dashboard
Data Analysis / Visualization
Event-Triggers
Load Balancing
Resource-Based Scheduling
Robotic Process Automation (RPA)
Workflow Foundation Support

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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