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About

Make your Kubernetes autoscaling proactivе. From reactive scaling to proactive, with PredictKube, you’ll be able to finish autoscaling before the load rise thanks to predictions made by our AI model. Our AI model can start working with the data for 2 weeks to provide you with reliable prediction and autoscaling. The predictive Keda scaler named PredictKube helps you to minimize time-wasting on manual setup of autoscaling and gives you an automated performance. We made our KEDA scaler out of the top-notch technologies available for Kubernetes and AI. Input the data for 1+ week and get proactive autoscaling up to 6 hours horizon based on AI prediction. The right time for scaling is selected by our trained AI model that analyzes your historical data and can utilize the data of custom and public business metrics that can affect the traffic load. We’ll support free access to API in general with all basic features available to provide autoscaling possibilities.

About

dstack is an orchestration layer designed for modern ML teams, providing a unified control plane for development, training, and inference on GPUs across cloud, Kubernetes, or on-prem environments. By simplifying cluster management and workload scheduling, it eliminates the complexity of Helm charts and Kubernetes operators. The platform supports both cloud-native and on-prem clusters, with quick connections via Kubernetes or SSH fleets. Developers can spin up containerized environments that link directly to their IDEs, streamlining the machine learning workflow from prototyping to deployment. dstack also enables seamless scaling from single-node experiments to distributed training while optimizing GPU usage and costs. With secure, auto-scaling endpoints compatible with OpenAI standards, it empowers teams to deploy models quickly and reliably.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Companies searching for an AI-based predictive autoscaler solution for Kubernetes to automate their process performance

Audience

Machine learning teams and enterprises seeking a unified, cost-efficient orchestration layer to manage GPU-based development, training, and inference across cloud, Kubernetes, and on-prem environments

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

PredictKube
United States
predictkube.com

Company Information

dstack
Founded: 2022
Germany
dstack.ai/

Alternatives

Alternatives

CAPE

CAPE

Biqmind

Categories

Categories

AI Control Planes Supported
AI Development Supported

Integrations

Amazon Web Services (AWS) Supported
Google Cloud Platform Supported
Microsoft Azure Supported
Kubeflow Supported
Kubernetes Supported
Kuna Exchange Supported
Prometheus Supported
Python Not Supported
TensorFlow Supported
Velas Supported

Integrations

Amazon Web Services (AWS) Supported
Google Cloud Platform Supported
Microsoft Azure Supported
Kubeflow Not Supported
Kubernetes Not Supported
Kuna Exchange Not Supported
Prometheus Not Supported
Python Supported
TensorFlow Not Supported
Velas Not Supported
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