Scaling visual investigations is a tough problem. Analysts in areas like cyber security, anti-fraud, ML model tuning, and network operations are struggling to see their data and how it connects. We'll discuss where visual graph analytics gets used and how Graphistry is dramatically streamlining the analyst experience. For example, when using visual graph models for exploring security event logs, we can load events around an incident and quickly determine the root cause, scope, and progression. We'll demonstrate how we solve three technical aspects of scaling visual graph analysis: streamlining investigation workflows, visualizing millions of events in the browser, and fast analytics. Core to our approach, our platform connects GPUs in the client to GPUs on the server. The result is an investigation experience that feels like a ""Netflix for data"" and can be used by anyone with a browser.