Rapid ai/ml model deployment
pcloudhosting · Software Development
Certification per Microsoft Marketplace.
Evidence tier Source Confirmed · 9 captures on record
What the publisher says
As described on Microsoft Marketplace.
Rapid AI/ML Model Deployment is a lightweight and efficient framework for quickly building, serving, and scaling machine learning models in production environments. It enables developers to move from model training to real-time API deployment with minimal configuration using tools like BentoML, FastAPI, and Docker.
Features of Rapid AI/ML Model Deployment:
Show the rest of the publisher’s description (15 more lines)
- Fast model-to-API deployment using BentoML or FastAPI.
- Support for multiple ML frameworks like Scikit-learn, TensorFlow, and PyTorch.
- Easy model versioning and management.
- REST API generation for real-time predictions.
- Scalable deployment with Docker and Kubernetes support.
- Cloud-ready architecture (AWS, Azure, GCP support).
- Built-in model serving and inference pipelines.
- Support for monitoring, logging, and performance tracking.
- Simple integration with CI/CD pipelines for automation.
- Optimized for production-grade AI/ML workloads.
Basic Usage (BentoML Example):
bentoml --version
$ bentoml serve service.py:IrisService --host 0.0.0.0 --port 3000
To access ML API UI / Endpoint:http://your-ip:3000
Disclaimer: Rapid AI/ML Model Deployment is a development approach and architecture pattern. Proper configuration, security setup, and infrastructure management are required for production use in cloud or enterprise environments.
Agent 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.
Vendor
External enrichment · as of 2026-08-29
Sources
Publisher resources
1 linkLinked 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.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.