Appwrite has launched a new Python ML runtime optimized for machine learning workloads
The Python ML runtime is tailored for machine learning use cases and enables developers to easily build AI-powered applications
This new runtime allows installation of machine learning libraries like TensorFlow and numpy, overcoming previous limitations of the Python runtime
Developers can create functions using Python ML by selecting it in the Appwrite console and following a step-by-step wizard
While the current Python ML runtime is CPU-only during Beta, developers are provided with tips and tricks to overcome limitations like smaller models, Tensorflow Lite, and async executions

Appwrite is an open-source backend server that simplifies application development by providing authentication, databases, storage, serverless functions, and real-time capabilities. It allows developers to scale applications with less code and ensures data security with encryption and abuse protection. Developers can utilize multiple languages and tools, and they have the flexibility to self-host data or use the cloud. The platform supports GDPR, and is preparing for SOC-2 and HIPAA compliance, highlighting their commitment to data privacy. Appwrite's community-driven approach and rapid feature rollout make it an attractive solution for backend development needs.

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Introducing Python Machine Learning Runtime for Appwrite Cloud

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