Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
In summary, OKD represents a highly opinionated version of Kubernetes. At its core, Kubernetes consists of various software and architectural patterns designed to manage applications on a large scale. While we incorporate some features directly into Kubernetes through modifications, the majority of our enhancements come from "preinstalling" a wide array of software components known as Operators into the deployed cluster. These Operators manage the over 100 essential elements of our platform, including OS upgrades, web consoles, monitoring tools, and image-building functionalities. OKD is versatile and suitable for deployment across various environments, from cloud infrastructures to on-premise hardware and edge computing scenarios. The installation process is automated for certain platforms, like AWS, while also allowing for customization in other environments, such as bare metal or lab settings. OKD embraces best practices in development and technology, making it an excellent platform for technologists and students alike to explore, innovate, and engage with the broader cloud ecosystem. Furthermore, as an open-source project, it encourages community contributions and collaboration, fostering a rich environment for learning and growth.
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
Yes
API Access
Has API
No
Integrations
Amazon Web Services (AWS)
Yes
AWS Marketplace
Yes
Google Cloud Platform
No
Kubernetes
Yes
Microsoft Azure
No
Python
No
Red Hat OpenShift
Yes
Integrations
Amazon Web Services (AWS)
Yes
AWS Marketplace
No
Google Cloud Platform
Yes
Kubernetes
No
Microsoft Azure
Yes
Python
Yes
Red Hat OpenShift
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
OKD
Country
United States
Website
okd.io
Vendor Details
Company Name
dstack
Founded
2022
Country
Germany
Website
dstack.ai/