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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.

About

kpt is a package-centric toolchain that enables a WYSIWYG configuration authoring, automation, and delivery experience, which simplifies managing Kubernetes platforms and KRM-driven infrastructure at scale by manipulating declarative configuration as data, separated from the code that transforms it. Most Kubernetes users either manage their resources using conventional imperative graphical user interfaces, command-line tools (kubectl), and automation (e.g., operators) that operate directly against Kubernetes APIs, or declarative configuration tools, such as Helm, Terraform, cdk8s, or one of the dozens of other tools. At a small scale, this is largely driven by preference and familiarity. As companies expand the number of Kubernetes development and production clusters they use, creating and enforcing consistent configurations and security policies across a growing environment becomes difficult.

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

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

Audience

Professionals and teams seeking a tool to improve their authoring, automation, and delivery operations

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

dstack
Founded: 2022
Germany
dstack.ai/

Company Information

kpt
kpt.dev/

Alternatives

Alternatives

Spectro Cloud Palette

Spectro Cloud Palette

Spectro Cloud
Loft

Loft

Loft Labs
k0rdent

k0rdent

Mirantis
Fairwinds Insights

Fairwinds Insights

Fairwinds Ops

Categories

Categories

Integrations

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

Integrations

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