Cog packages machine learning models into containers to support deployment across environments.
Open source
24 alternativesHow do TFServing and ormb compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | TFServing | ormb |
|---|---|---|
| What it is | Flexible, high-performance serving system for machine learning models. | ORMB packages machine learning models as OCI artifacts, in a workflow described as Docker for ML models. |
| Website | ||
| Type | Open-source project | Open-source project |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Not recorded | Not recorded |
| Open source | Yes | Yes |
| Language | English | English |
| Alternatives |
Sites similar to both TFServing and ormb.
Cog packages machine learning models into containers to support deployment across environments.
ModelDB tracks machine learning model versions, metadata, and experiments.
Train and run models with OneFlow, a scalable deep learning framework for distributed machine learning workloads.
The Hydrosphere repository describes an MLOps platform for machine learning operations.
DJL is a Java framework for running deep learning models across different engines.
dstack coordinates AI compute and supports training and inference across GPU clouds, Kubernetes, VMs, and bare metal.