Welcome to the MemryX Developer Community — Start Here
Welcome to the MemryX Developer Community!
This is a place for developers, researchers, makers, partners, and edge-AI enthusiasts to learn, exchange ideas, showcase projects, and help one another build applications with MemryX technology.
Whether you are installing your first MemryX accelerator, compiling a neural-network model, integrating the runtime into an application, working with Frigate, or optimizing a production deployment, you are welcome here.
What this community is for
Use this community to:
- Ask technical questions about MemryX hardware and software.
- Get help installing or updating the MemryX SDK and runtime.
- Troubleshoot model compilation, deployment, performance, and accuracy.
- Discuss integration with Python, C++, cameras, embedded platforms, and third-party applications.
- Learn from projects and solutions shared by other developers.
- Share feedback, feature requests, tutorials, benchmarks, and MemryX-powered applications.
- Connect with other people building edge-AI solutions.
Before opening a new topic, please search the community and the Developer Hub. Your question may already have a solution, and existing discussions often contain useful troubleshooting steps.
Essential developer resources
The following resources are the best places to begin:
- MemryX Developer Hub
The main destination for documentation, installation instructions, tutorials, APIs, architecture information, specifications, release notes, and troubleshooting guidance. - SDK Getting Started Guide
Start here to prepare your system, install the required software and hardware, and run your first model. - SDK Installation Guide
Review supported platforms and install the MemryX SDK tools, compiler, simulator, drivers, and runtime components. - Compiler and SDK Tools
Learn how to compile neural-network models, generate DFP files, benchmark workloads, inspect compiled models, and use the MemryX development tools. - Runtime Documentation
Learn how to deploy models, manage inference workloads, and integrate MemryX acceleration into Python and C++ applications. - Hardware Setup Guide
Follow the installation, cooling, firmware, and hardware-verification instructions for MemryX accelerator hardware. - MemryX eXamples
Explore practical, end-to-end applications covering real-time video, object detection, pose estimation, multi-stream inference, audio, images, open-vocabulary models, and other projects. - Frigate Discussions and Support
Visit the Frigate category for installation guidance, configuration discussions, compatibility information, and troubleshooting. - MemryX DevBlog
Read technical guides, product announcements, SDK updates, integration walkthroughs, and new application stories.
Where to ask technical questions
For problems involving the SDK, compiler, runtime, drivers, APIs, model compatibility, hardware detection, firmware, installation, or performance, create a topic in the Technical Support category.
For Frigate-specific installation and configuration questions, use the Frigate category.
Use General for broader discussions, project ideas, introductions, announcements, and questions that do not fit a specialized category.
Use Site Feedback for suggestions or problems involving the community website itself.
Choosing the correct category and writing a descriptive title will make it easier for the right person to find and answer your question.
Join the discussion
Introduce yourself, tell us what you are building, or explore the latest conversations. If you have solved an interesting problem, consider sharing your approach—it may save another developer hours of work.
We are glad you are here, and we look forward to seeing what you build with MemryX.
— The MemryX Team