One-Click Solution
AiStreamliner is an open-source MLOps platform on Kubernetes that streamlines the ML lifecycle—from data to deployment—while simplifying LLMs and scaling. It empowers data scientists with an intuitive, extensible interface to focus on innovation.
As Featured On:
Challenge
We intimately understand the challenges of AI Models:
- Complexity
- Multiple tools
- Wasted time
- Prone to error
- Time Building Tools
- Replication
The Real Problem
AI tools face challenges like fragmentation, complex LLM operations, scaling, and ensuring reproducibility. This often leads to vendor lock-in and high costs.
Our Solution
Open-source, one-click MLOps on Kubernetes. Unify your ML lifecycle, solve fragmentation, LLM complexity, and TCO.
Problems We Solve
Deployment Processes
Tool Fragmentation
Reproducibility Problems
LLM/ML Complexity
Scaling Bottlenecks
AiStreamliner is a comprehensive, open-source MLOps platform built on Kubernetes, integrating best-in-class tools to unify the entire ML lifecycle from data versioning to model serving. It empowers data scientists to focus on innovation by streamlining workflows, addressing LLM complexities, and providing an intuitive, extensible interface with automated scaling.
How did we get here?
18 months ago, Ardent’s R&D group faced significant challenges optimizing our infrastructure for AI and ML applications. We found existing tools lacked true integration for complex workflows, causing slow deployments and increased complexity. To overcome this, we leveraged open-source components to build a robust, scalable, and cost-effective baseline.
