Apache MXNet

Overview

Apache MXNet is a flexible and efficient deep learning framework optimized for both research and production. Backed by Apache and deeply integrated with AWS, we use MXNet for scalable model training across multi-GPU and distributed environments, particularly for computer vision and NLP workloads.

Our Capabilities

• Imperative & symbolic programming APIs
• Multi-GPU and distributed training (Horovod)
• Gluon API for intuitive model building
• Model serving with MXNet Model Server
• ONNX export for cross-framework compatibility
• Optimized for AWS SageMaker integration
• Sparse & quantized model support
• Computer vision with GluonCV

Common Use Cases

• Scalable image recognition systems
• NLP classification & sequence modeling
• Distributed training on cloud infrastructure
• Edge model deployment & optimization