Or anything that integrates with the Prometheus standard forįinally, we aim to provide integrations with more enterprise platforms
Visualization can happen with applications such as Grafana We want to expose modern standards for monitoring everything from your GPU Optionally, for the Java community, a Vert.x-based model server and pipeline developmentįramework allow a thin abstraction that is embeddable in a Java microservice. Konduit Serving into a Python-first workflow. We also strive to provide a Python-first SDK that makes it easy to integrate When dealing with deep learning, we can handle proper inference on the GPUĮxtending that to Python SDK, we know when to return a raw Arrow record and return it as a pandas DataFrame! Or Arrow records for consumption straight from the server without copy or serialization overhead. This allows us to do things like in zero-copy memory access of NumPy arrays
#Konduit osrs client small code
The surface area where native code = more security flaws (mainly in server side networked applications). Java with Java's robust server side application development (Vert.x on top of netty)Īllows for better access to faster math code in production while minimizing With native math libraries such as TensorFlow and our very own DL4J'sĪt the core of Konduit Serving are the JavaCPP Presets,Ĭombining JavaCPP's low-level access to C-like APIs from Konduit Serving was built with the goal of providing proper low level interoperability Machine learning pipelines from pre-processing to model serving, exposable Provides building blocks for developers to write their own production Keras, Deeplearning4j (DL4J) or PMML models, use ModelStep.įunctionality for other pre-processing tasks, such as DataVec transform processes or image transforms. To perform inference on a (mix of) TensorFlow, Such as labels in a classification example.įor instance, if you want to run arbitrary Python code for pre-processing purposes,
The core abstraction is an idea called a "pipeline step".Īn individual step is meant to perform a task as part of using a machine learning Konduit Serving is a serving system and framework focused on deploying machine learning Konduit Serving: Enterprise Runtime for Machine Learning Models
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