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About

Open-source tools for Kubernetes to run workflows, manage clusters and do GitOps right. Kubernetes-native workflow engine supporting DAG and step-based workflows. Declarative continuous delivery with a fully-loaded UI. Advanced Kubernetes deployment strategies such as Canary and Blue-Green made easy. Argo Workflows is an open-source container-native workflow engine for orchestrating parallel jobs on Kubernetes. Argo Workflows is implemented as a Kubernetes CRD. Model multi-step workflows as a sequence of tasks or capture the dependencies between tasks using a graph (DAG). Easily run compute-intensive jobs for machine learning or data processing in a fraction of the time using Argo Workflows on Kubernetes. Run CI/CD pipelines natively on Kubernetes without configuring complex software development products. Designed from the ground up for containers without the overhead and limitations of legacy VM and server-based environments.

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

Developers and enterprises in search of a solution to run workflows and manage 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

No information available.
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

Argo
United States
argoproj.github.io

Company Information

dstack
Founded: 2022
Germany
dstack.ai/

Alternatives

Alternatives

Argo CD

Argo CD

Applatix
CodeNOW

CodeNOW

Stratox Cloud Native
k0rdent

k0rdent

Mirantis

Categories

Categories

Integrations

Akuity
Amazon Web Services (AWS)
Argo CD
CloudKnit
Google Cloud Platform
Kubernetes
Microsoft Azure
Python
Testkube
UBOS

Integrations

Akuity
Amazon Web Services (AWS)
Argo CD
CloudKnit
Google Cloud Platform
Kubernetes
Microsoft Azure
Python
Testkube
UBOS
Claim Argo and update features and information
Claim Argo and update features and information
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