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
About dstack
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.
Other Popular Alternatives & Related Software
JFrog Artifactory
The Industry Standard Universal Binary Repository Manager.
Supports all major package types (over 27 and growing) such as Maven, npm, Python, NuGet, Gradle, Go, and Helm including Kubernetes and Docker as well as integration with leading CI servers and DevOps tools that you already use.
Additional functionalities include:
- High Availability that scales to infinity with active/active clustering of your DevOps environment and scales as business grows
- On-Prem, Cloud, Hybrid, or Multi-Cloud Solution
- De Facto Kubernetes Registry managing application packages, operating system’s component dependencies, open source libraries, Docker containers, and Helm charts with full visibility of all dependencies. Compatible with a growing list of Kubernetes cluster providers.
Learn more about JFrog Artifactory
Control Plane
Control Plane is the unbreakable platform for running production workloads. It runs serverless, standard, stateful, and cron workloads natively on AWS, GCP, and Azure, VM workloads on Managed Kubernetes locations, and workloads on your own infrastructure or on premises, active-active across regions and clouds. The 99.999% availability SLA applies to workloads running at least two replicas in at least two locations.
Control Plane handles Day 2 operations for you, including autoscaling, Capacity AI right-sizing, built-in observability, and security, with no Kubernetes cluster to operate. Universal Cloud Identity gives workloads access to 600+ services across AWS, GCP, and Azure with no long-lived cloud keys in your code.
Customers typically cut compute costs 30 to 50 percent compared with running directly on AWS, GCP, or Azure. Control Plane is PCI DSS Level 1, SOC 2 Type II, HIPAA, and GDPR compliant.
Learn more about Control Plane
Massdriver
Massdriver is an internal developer platform and platform orchestrator. Platform teams publish the Terraform, OpenTofu, and Helm they already write to a catalog; developers and AI agents provision from it with policy enforced before every deploy. Self-hosted or managed.
Platform and operations teams encode their security, compliance, and cost requirements into pre-approved modules using the IaC tools they already use. Developers and AI agents discover and provision those modules from a central catalog, and policy is checked before anything is created. Built-in secrets management, monitoring, and attribute-based access control cover AWS, Azure, GCP, and Kubernetes.
Massdriver generates an ephemeral pipeline per deploy from each module's own tooling, so there are no standing CI/CD pipelines to maintain. Run it self-hosted, on-prem, or in your cloud, or let Massdriver manage it for you.
Learn more about Massdriver
KubeGrid
Define your Kubernetes infrastructure, and use KubeGrid to automatically deploy, monitor, and optimize up to thousands of clusters. KubeGrid automates the full lifecycle management of Kubernetes in on-prem and cloud environments, enabling developers to deploy, manage, and update large numbers of clusters with ease. KubeGrid is a Platform as Code, meaning you can declaratively define all your Kubernetes requirements as code, from your on-prem or cloud infrastructure, to cluster specs, and autoscaling policies, and KubeGrid will deploy and manage everything for you. Most infrastructure-as-code tools help you provision infrastructure, but stop there. KubeGrid goes beyond that to help developers automate Day 2 operations, such as monitoring infrastructure, failing over unhealthy nodes, and updating your clusters and operating system. Kubernetes is great for provisioning pods in an automated fashion.
Learn more about KubeGrid
Integrations
Company Information
dstack
Founded: 2022
Germany
dstack.ai/
Videos and Screen Captures
Other Useful Business Software
Build Agents and Models on One Platform
Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
Product Details
Platforms Supported
Cloud
Training
Documentation
Support
Online
dstack Frequently Asked Questions
Q: What kinds of users and organization types does dstack work with?
dstack works with these users and organization types: Mid Size Business, Small Business, Enterprise, Freelance, Nonprofit, Government, and Startup.
Q: What languages does dstack support in their product?
dstack supports these languages: English.
Q: What kind of support options does dstack offer?
dstack offers support via online.
Q: What other applications or services does dstack integrate with?
dstack integrates with: Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform, and Python.
Q: What type of training does dstack provide?
dstack provides training in the form of documentation.
