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- Workflows for MLOps
Workflows for MLOps
Experiment, deploy, evaluate, repeat
Operationalize your ML workflows across every team, at any scale.
Buildkite powers leading AI companies around the world.
Control compute costs
Optimize expensive GPU resources with intelligent orchestration and governance.
Buildkite supports non-linear workflows, letting you adjust pipelines at runtime. This means you can dynamically optimize GPU utilization by only running what you need for each step in your ML lifecycle. Automate model training and evaluation while maintaining checkpoints to inspect results before proceeding to deployment.
- Robust MLOps controls including options to block, retry, inspect training results, provide parameters, and resume experiments.
- Right-size compute by matching ML workflow steps to the appropriate GPU resources.
- Absorb usage spikes without penalty with our P95 pricing model.
Built-in IP protection
Keep your models and training data within your security perimeter.
Buildkite's hybrid architecture lets you implement the MLOps security posture you need without compromising speed or developer experience. With self-hosted agents, you control the training environment, and Buildkite has no access to your models, datasets, or secrets.
- Retain control of your intellectual property with self-hosted agents.
- SOC 2 Type II compliant SaaS control plane.
- Implement security gates and compliance checks throughout the model lifecycle.
Maintain a hardware advantage
Stay ahead with the freedom to use the latest hardware, technologies, and approaches.
In an emerging field like AI/ML, moving fast is critical. Buildkite’s cross-platform agent is lightweight and can be used anywhere. Run the agent on the latest hardware as soon as it’s available rather than waiting for a SaaS solution to update.
- Run agents on any platform or cloud.
- Quickly experiment with new approaches to get ahead of changes in the field.
- Update the build environment on your schedule.
Bridge the gap between research and engineering
Standardize MLOps practices today to prepare for 10× scale tomorrow.
With more models moving to production, Buildkite's flexible primitives let you consolidate workflows to support efficient delivery across all teams. Easily integrate experimentation tools with deployment pipelines, and manage the entire ML lifecycle with secure boundaries around compute resources, projects, and environments.
- Automate the flow of data, models, and applications across any compute resource or scale.
- Create a common delivery language to make collaboration smooth between research and engineering teams.
- Pave golden paths so that any team can operationalize their work.
Smart tools for smarter AI agents
Unlock build insights and control with our MCP server—fix failures, streamline pipelines, and secure access for faster, cheaper, and more accurate results.
Key features
Dynamic pipelines let you customize pipeline steps on the fly to reduce run times and react to changing scenarios—from adding new steps to triggering different pipelines. All with logic you write in your programming language of choice (yes, Python! 🐍).
Annotations highlight key information in custom blocks so developers can quickly understand the situation, such as training result summaries, graphs of codebase analyses, and links to model artifacts.
Unified dashboard to monitor, control, and visualize all your pipelines from one place. Take action from metrics that show the health and performance of your pipelines.
Built by developers, for developers
- SOC 2 Type II compliant.
- Audit logs.
- Multi-level permissions to control access.
- REST and GraphQL APIs.
- SSO, SAML, and 2FA.
Customers
Teams move faster with Buildkite
Frequently asked questions
Got a question that’s not on our list? Want a demo? Just want to chat? Get in touch.
No, you set your own limits with self-hosted agents. Buildkite handles upwards of 100,000 concurrent agents from some customers.
Yes, Buildkite has Enterprise features including audit logs, multi-level permissions to control access, REST and GraphQL APIs, SSO, SAML, and 2FA and is SOC 2 Type II compliant.
Buildkite provides an SLA of 99.95% uptime and a status page to track any incidents.
No, Buildkite cannot be fully self-hosted. While you can run the build infrastructure on self-hosted agents, the control plane is a SaaS offering managed by Buildkite.
This setup eliminates the overhead of maintaining and scaling the control plane, allowing your team to focus on delivering quality code quickly and efficiently. Self-hosted agents provide many benefits of an on-premises deployment with security, compliance, and governance controls.
Resources
Guides to improve your practices
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