AI Data Protection, the Cloud-Native Way
Safeguard your AI-driven innovation with Trilio’s
intelligent, application-aware backup and recovery.
AI Is Transforming Business. Don’t Let Data Loss Set You Back.
Artificial Intelligence (AI) is pushing boundaries—from accelerating product development to driving smarter decision-making. But behind every model & algorithm lies a pipeline of dynamic data, distributed compute, & evolving infrastructure.
Why AI Needs a
New Approach to Backup
AI workloads are anything but traditional. They live in multi-cloud,
Kubernetes-based ecosystems. They rely on:
Large, fast-changing datasets.
Model checkpoints and configuration files.
Stateful applications like databases, storage services, and queues.
Containerized microservices and orchestration layers.
You don’t need just backup.
You need AI-native resilience.
Who Needs AI
Data Protection?
Trilio is ideal for
Data Scientists & ML Engineers
who need reproducible
model environments
DevOps & Platform Teams
managing AI pipelines in
Kubernetes or OpenStack
CIOs & Compliance Officers
in industries like finance,
healthcare, and defense
AI-first Enterprises
building mission-critical
applications driven by real-
time insights
How Trilio Protects AI Workloads From Dev to Production
Empowering AI Builders and Operators
Whether you’re a data scientist needing consistent model environments, a DevOps engineer managing pipelines, or a platform architect scaling across clusters, Trilio brings control, visibility, and resilience to your AI stack.
Scalable for Big Data and High-Performance Workloads
AI doesn’t stop at gigabytes. Whether you’re moving petabytes of data or running continuous training jobs, Trilio scales—all while minimizing impact on performance.
Built-In Compliance and Reproducibility
Trilio backs up not just data but full application context—from Helm releases, Operators, name spaces to VM metadata like subnets, flavors, and key-pairs— enabling consistent full restores or file- level recovery.
Application-Aware, Context-Rich Backups
Trilio doesn’t just back up storage—it understands the full state of your applications and pipelines. Whether you’re running Kubeflow, MLflow, or custom AI workflows, Trilio captures everything needed for consistent, reliable recovery. Trilio understands and protects the full context of your AI workloads: model versions, training data, orchestration metadata, and pipeline configurations. This ensures clean, consistent backups—not just raw storage snapshots.
Built for Kubernetes
Trilio was designed from the ground up to support cloud-native, Kubernetes-powered platforms like Red Hat OpenShift, Rancher, and upstream K8s. We integrate directly with Kubernetes APIs, Helm charts, labels, and Custom Resources (CRs) to deliver intelligent, policy-driven protection.
Empowering AI Builders and Operators
Whether you’re a data scientist needing consistent model environments,
a DevOps engineer managing pipelines, or a platform architect
scaling across clusters, Trilio brings control, visibility, and
resilience to your AI stack.
Industries We Support
Financial Services
Healthcare & Life Sciences
Telecom & Service Providers
Government & Defense
Technology & Research Institutions
Why Traditional Backups Aren’t Enough
Most modern AI/ML environments use
Kubernetes
(e.g., Kubeflow, MLflow)
Stateful workloads
(e.g., Redis, Postgres, MinIO)
Distributed file systems
(e.g., Ceph, NFS)
A traditional, non-aware backup might just capture volumes or VM snapshots — missing orchestration, configuration, or metadata critical to recovery. Application-aware solutions capture both data and context.
Legacy backup tools were not built for modern AI stacks. They often fail to account for:
- Distributed and dynamic workloads running in Kubernetes or hybrid environments.
- Consistent capture of training checkpoints, metadata, and configurations.
- Data lineage and provenance requirements critical for reproducibility and compliance.
- Performance-intensive AI pipelines requiring fast, efficient backup and restore.
Without application-aware protection, restoring AI workloads can mean starting from scratch— or worse, losing unrecoverable training data or model states.
What Makes Trilio Different?
Feature | Trilio | Legacy Tools |
|---|---|---|
Kubernetes-native architecture | Yes | No |
AI/ML workload awareness | Yes | No |
Multi-cloud, hybrid support | Yes | Partial |
Policy-driven automation | Yes | Manual-heavy |
Application-consistent restores | Yes | Often unreliable |
AI Demands Resilience. Trilio Delivers.
Your AI investments are too valuable to risk on outdated data protection. Trilio gives you the cloud-native, intelligent backup and recovery solution needed to safeguard innovation and accelerate transformation.