Learn BIGDL with Real Code Examples

Enterprise AI consulting and implementation

Big data + AI integration services

Recommendation system development

Fraud detection and predictive analytics

Commercial support and training

Support for new neural network layers and architectures

Enhanced integration with PyTorch/TensorFlow models

Improved distributed training efficiency

Streaming data model training and inference

Better interoperability with AI analytics pipelines

Small datasets or single-machine training

Quick prototyping outside Spark ecosystem

Projects without big data infrastructure

Real-time edge inference without Spark support

Deep learning research requiring newest neural network features unsupported in BigDL

BigDL enables distributed deep learning on top of Spark/Hadoop clusters.

Supports CNNs, RNNs, and other neural networks at scale.

Integrates seamlessly with big data pipelines for training and inference.

High-performance execution using CPU/GPU acceleration.

Ideal for enterprises needing AI on large-scale datasets without moving data.

Is BigDL free?

Yes - open-source under Apache 2.0 license.

Which platforms are supported?

Linux/macOS/Windows with Apache Spark or Hadoop cluster.

Can BigDL handle large-scale datasets?

Yes - designed for distributed training on big data clusters.

Does BigDL support GPUs?

Yes - GPU acceleration is available for supported layers.

Is BigDL suitable for enterprise pipelines?

Yes - integrates with Spark/Hadoop for scalable, in-place AI workloads.