Training Smart Turn on the NVIDIA DGX Spark™

We recently got our hands on an NVIDIA DGX Spark™: a tiny, desktop device designed for AI inference and training.The Spark’s architecture differs from a typical AI workstation, with 128GB of unified memory shared between its Arm CPU and its NVIDIA Blackwell CUDA cores.Because of this, we wanted to find out whether we could train our open-source Smart Turn model on the device, and if so, how does the experience compare to running training with a traditional GPU?What is the DGX Spark?NVIDIA describes the Spark as a compact “AI supercomputer”, built around the NVIDIA GB10 Grace™ Blackwell…