It’s 2:47pm, the meeting has been running for 38 minutes, and someone
has just said, “Can everyone see my screen?”
You’re trying to concentrate, your laptop fan sounds like it’s preparing
for take-off, and somewhere outside the temperature has climbed to 34°C.
You’ve already relocated once today …

Deep learning for time series forecasting in R has historically faced a major architectural hurdle: Python overhead. Frameworks like modeltime.gluonts provide interface wrappers around AWS GluonTS, but they rely on a complex execution chain passing through reticulate, virtual environments, Python serialization, and MXNet/PyTorch backends. To overcome the performance …