Its dynamic computation graph helps developers build and modify models on the fly, making it a preferred choice for AI researchers, data scientists, and engineers working in neural networks.

Its Native Parallel Graph (NPG) design focuses on both storage and computation, supporting real-time graph updates, and offering built-in parallel computation. “Graph analytics are also a critical ...