Connect YOLO-NAS with Kafka Publish

Build a multi-stage computer vision pipeline by connecting YOLO-NAS with Kafka Publish and deploy a production application in minutes.

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YOLO-NAS

YOLO-NAS is a type of Roboflow Object Detection Model.

Use YOLO-NAS in the Roboflow Object Detection Model Roboflow Workflows block.

Kafka Publish

Publish data to a Kafka topic, with server connection and topic configuration, ensuring data propagation within distributed systems.

The `KafkaPublishBlock` is designed to facilitate the integration of data workflows with Kafka, a distributed streaming platform, by enabling the publishing of data to specific Kafka topics. This block is particularly useful in environments where large volumes of data need to be processed and made available across different parts of an application in real-time.

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Use workflows with YOLO-NAS and Kafka Publish in production

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Connect pre-trained models, open source models, LLM APIs, advanced logic, and external applications. Deploy as an API endpoint, on-prem, or at the edge.

Explore Popular Combinations

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Learn how to use a low-code open source platform to simplify building and deploying vision AI applications.

Choose a Block

Choose from 40+ pre-built blocks that let you use custom models, open source models, LLM APIs, pre-built logic, and external applications. Blocks can be models from OpenAI or Meta AI, applications like Google Sheets or Pager Duty, and logic like filtering or cropping.

Connect Blocks

Each block can receive inputs, execute code, and send outputs to the next block in your Workflow. You can use the drag-and-drop UI to configure connections and see the JSON definitions of what’s happening behind the scenes.

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You’ll receive an output of the final result from your Workflow and the format you want it delivered in, like JSON. Once your Workflow produces sufficient results, you can use the Workflow as a hosted API endpoint or self-host in your own cloud, on-prem, or at the edge.

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Run Workflows on-device, internet connection optional, without the headache of environment management, dependencies, and managing CUDA versions.

Isolate dependencies in your software by using the Python SDK or HTTP API to operate and maintain your Workflows separate from other logic within your codebase

Supported devices include ARM CPU, x86 CPU, NVIDIA GPU, and NVIDIA Jetson

Customize Your Pipeline

Connect models from OpenAI or Meta AI, applications like Slack or Pager Duty, and logic like filtering or cropping.

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