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