Kubeflow and MLFlow by QUANTUM AI
QUANTUM AI · Operations & Productivity
Certification per Microsoft Marketplace.
Evidence tier Source Confirmed · 8 captures on record
What the publisher says
As described on Microsoft Marketplace.
Tired of the MLOps "Stitching Problem"? Data science teams are forced to act like infrastructure engineers, spending more time managing Kubernetes, integrating tools, and fighting deployment errors than building models.
Kubeflow and MLFlow by QUANTUM AI solves this. We deliver a complete, out-of-the-box MLOps platform, built on the zero-ops MicroK8s and Juju, that just works.
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What This Solves for You:
- Accelerate Time-to-Production: Go from a new model to a production endpoint in a fraction of the time.
- Unify Your ML Lifecycle: Use MLFlow to track every experiment, parameter, and metric. Then, use Kubeflow Pipelines to automate your entire workflow from data ingestion to model serving.
- Reduce Infrastructure Headaches: Powered by MicroK8s, our platform simplifies Kubernetes operations. Juju operators handle the complex integration and scaling of Kubeflow and MLFlow, so you do not have to.
- Enable True MLOps: Bridge the gap between your data scientists and your DevOps team with a single, governed platform for model development, deployment, and management.
Key Features:
- One-Click Deployment: Get the full Kubeflow and MLFlow stack running in minutes.
- Automated Pipelines: Visually build and manage end-to-end ML pipelines with Kubeflow.
- Unified Experiment Tracking: Log, compare, and manage all your models and metadata with MLFlow.
- Effortless Kubernetes: A lightweight, conformant Kubernetes from MicroK8s for development and production.
- Enterprise-Grade Support: Backed by QUANTUM AI, you get a single point of contact for the entire stack.
Preview
4 imagesAgent build and provenance
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Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Sources
Publisher resources
7 linksLinked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
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