What Is a Dataflow Graph?

Behind every token an LLM generates, many calculations have to happen in a specific order. This lesson explains the dataflow graph: nodes as calculations, arrows as dependencies, and how that structure shows what can run in parallel and what has to wait. 🖊️ Learning objectives: - What a dataflow graph is - How dependencies and parallelism shape execution - Why the graph runs again for every single token A dataflow graph is not just a diagram, it is the execution plan for the model. How that graph is executed has a major impact on how fast a user gets an answer, and that insight is the foundation of how we built SambaNova hardware and software. For more resources, you may check out our blog here, where you will find information on: - The decode era of AI: why dataflow matters more than ever - Solving the infrastructure crisis for AI inference with dataflow #AI #Dataflow #LLM #Inference #SambaNova