Cortex
cortex.devCortex provides cloud infrastructure for deploying, managing, and scaling machine learning models in production.
Looking for something like Seldon-core? Here are 24 alternatives, ranked by how closely they match it on purpose, features and platforms. Of these, 1 are free or have a free plan and 6 are open source.
MLOps framework to package, deploy, monitor and manage thousands of production machine learning models.
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | Cortex | — | Not stated | Web |
| 2 | Kubeflow | — | Not stated | Web |
| 3 | Kubeflow | — | Yes | — |
| 4 | delta | — | Yes | — |
| 5 | Caffe | — | Not stated | Windows |
| 6 | Catniff | — | Yes | — |
| 7 | Infer.NET | — | Not stated | Web |
| 8 | Espresso AI | — | Not stated | Web |
| 9 | dfdx | — | Not stated | — |
| 10 | cONNXr | — | Yes | — |
Cortex provides cloud infrastructure for deploying, managing, and scaling machine learning models in production.
Kubeflow makes deployment of ML Workflows on Kubernetes straightforward and automated.
Kubeflow provides a machine learning toolkit for deploying workflows on Kubernetes.
Build machine learning applications with Delta, an open-source framework implemented in Rust.
Caffe provides an open framework for building and running deep learning models.
Catniff provides JavaScript developers with a Torch-like deep learning framework.
Infer.NET runs Bayesian inference in graphical models for a range of machine learning problems.
Espresso AI uses machine learning to optimize Snowflake and Databricks data warehouses and reduce query and infrastructure costs.
Deep learning in Rust, with shape checked tensors and neural networks.
The cONNXr project provides a pure C runtime for ONNX models intended for embedded devices.
Tensors and Dynamic neural networks in Python with strong GPU acceleration.
Kuberns uses AI agents to deploy, scale, and manage applications on cloud infrastructure.
Hopsworks provides a feature store and MLOps platform for building and operating production machine learning systems.
Microtica deploys and monitors cloud-native applications, with agents for infrastructure and incident resolution.
Model deployment for AI applications is supported by nndeploy, a framework described as easy to use and high performance.
Valohai provides MLOps tools for comparing, evaluating, and shipping configurations for AI products using specialized models.
Candle provides a minimalist Rust framework for machine learning model development and execution tasks.
CoreWeave presents cloud infrastructure for AI and machine learning, with deployment and scaling for production models.
Roboflow provides tools to build and deploy computer vision models, from annotation to model deployment.
Synexa AI deploys AI models through an API, with examples for image generation, video generation and image restoration.
Prime Intellect provides compute, training, inference, and sandbox tools for training and deploying machine learning models.
Langdock helps organizations deploy and manage AI tools across teams with controls for secure, flexible adoption.
Featherless is a serverless AI inference platform for open-weight models with API access to tens of thousands of models.
PromptLayer supports prompt versioning, LLM evaluations, and production monitoring with traces, logs, and regression sets.
Alternatives are suggested from the purpose and features described in our listings. Different pages for the same product appear once. Read each description to check whether it fits your task. How we choose alternatives · Suggest an alternative