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About

Paralus is a free, open source tool that enables controlled, audited access to Kubernetes infrastructure. It provides just-in-time service account creation and user-level credential management, integrating seamlessly with existing Role-Based Access Control (RBAC) and Single Sign-On (SSO) systems. Paralus applies zero-trust security principles, ensuring secure access to Kubernetes clusters by generating, maintaining, and revoking access configurations across clusters, projects, and namespaces. It offers both a browser-based graphical user interface and command-line interface tools for managing kubeconfigs directly from the terminal. Additionally, Paralus includes comprehensive auditing tools that provide detailed logging of activities and resource access, facilitating real-time and historical tracking. Installation is straightforward, with Helm charts available for deployment across various environments, including major cloud providers and on-premises setups.

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
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

DevOps teams looking for a tool to implement zero-trust security measures across multiple Kubernetes clusters

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
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

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

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
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Paralus
www.paralus.io

Company Information

dstack
Founded: 2022
Germany
dstack.ai/

Alternatives

Alternatives

Devolutions PAM

Devolutions PAM

Devolutions
k0rdent

k0rdent

Mirantis

Categories

Categories

Integrations

Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure
Helm
Kubernetes
Python

Integrations

Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure
Helm
Kubernetes
Python
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