Spring Boot + DJL: Build a High-Performance Image Moderation API In this post, we walk through how to design and implement a high-performance Image Moderation API using Spring Boot and Deep Java Library (DJL).

DJL ResNet with JNI: Accelerating Image Preprocessing in Java When deploying deep learning models in production, image preprocessing often becomes the hidden bottleneck. In this guide, we’ll explore how to move preprocessing from Java to C/C++ via JNI, then feed the results directly into DJL (Deep Java Library).

Java gRPC and HTTP Clients for Python AI Inference Service When deploying AI models in production, we often ask:

Implementing a Python Inference Service with HTTP (FastAPI) and RPC (gRPC) Interfaces

Deploying ResNet Models with Java and DJL (Deep Java Library) In the Java world, deep learning often sounds like something you must do with Python. In reality, DJL (Deep Java Library) allows you to run deep learning models such as ResNet and BERT directly in a pure Java environment(no extra...