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Average Ratings 0 Ratings

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ease
features
design
support

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Description

Paralus is an open-source tool available at no cost that facilitates controlled and audited access to Kubernetes infrastructure. It features on-demand service account creation and manages user credentials effectively, working in harmony with existing Role-Based Access Control (RBAC) and Single Sign-On (SSO) frameworks. By implementing zero-trust security practices, Paralus guarantees safe access to Kubernetes clusters, handling the creation, maintenance, and revocation of access configurations across multiple clusters, projects, and namespaces. Users can choose between a web-based graphical interface or command-line tools for managing kubeconfigs directly from the terminal, ensuring flexibility in usage. In addition to these features, Paralus provides robust auditing capabilities, which deliver thorough logging of user activities and resource access, aiding in both real-time updates and historical analysis. The installation process is user-friendly, with Helm charts readily available for deployment in diverse environments, including major cloud platforms and on-premises configurations. With its focus on security and usability, Paralus is an invaluable asset for organizations looking to enhance their Kubernetes management.

Description

dstack simplifies GPU infrastructure management for machine learning teams by offering a single orchestration layer across multiple environments. Its declarative, container-native interface allows teams to manage clusters, development environments, and distributed tasks without deep DevOps expertise. The platform integrates natively with leading GPU cloud providers to provision and manage VM clusters while also supporting on-prem clusters through Kubernetes or SSH fleets. Developers can connect their desktop IDEs to powerful GPUs, enabling faster experimentation, debugging, and iteration. dstack ensures that scaling from single-instance workloads to multi-node distributed training is seamless, with efficient scheduling to maximize GPU utilization. For deployment, it supports secure, auto-scaling endpoints using custom code and Docker images, making model serving simple and flexible. Customers like Electronic Arts, Mobius Labs, and Argilla praise dstack for accelerating research while lowering costs and reducing infrastructure overhead. Whether for rapid prototyping or production workloads, dstack provides a unified, cost-efficient solution for AI development and deployment.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

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

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

Paralus

Website

www.paralus.io

Vendor Details

Company Name

dstack

Founded

2022

Country

Germany

Website

dstack.ai/

Product Features

Privileged Access Management

Application Access Control
Behavioral Analytics
Credential Management
Endpoint Management
For MSPs
Granular Access Controls
Least Privilege
Multifactor Authentication
Password Management
Policy Management
Remote Access Management
Threat Intelligence
User Activity Monitoring

Product Features

Alternatives

Alternatives

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