Deep learning models are represented in PyTorch as Dynamic Computation Graphs (DCGs). Unlike with pre-constructed static graphs, the structure of the neural network is built and modified on the ...

Deep learning models are represented in PyTorch as Dynamic Computation Graphs (DCGs). Unlike with pre-constructed static graphs, the structure of the neural network is built and modified on the ...

SambaNova just added another offering under its umbrella of AI-as-a-service portfolio for enterprises: GPT language models. As the company continues to execute on its vision, we caught up with CEO ...

"The underlying techniques involve pushing a computation graph (e.g. machine learning model) to the device, computing on the locally stored data, and sending only the computation results back ...

TigerGraph is delivering the next stage in the evolution of the graph database. Its Native Parallel Graph (NPG) design focuses on both storage and computation, supporting real-time graph updates ...