Paths, memory constants, and config
· 3 min read
Tools in DGX Lab assume local disk and Spark-class memory. Defaults match a stock DGX Spark layout; everything below can be overridden with environment variables read in backend/app/config.py.
GPU programming, CUDA, and hardware
View All TagsTools in DGX Lab assume local disk and Spark-class memory. Defaults match a stock DGX Spark layout; everything below can be overridden with environment variables read in backend/app/config.py.
DGX Lab is a local-first developer dashboard for the NVIDIA DGX Spark. Eight tools for model management, experiment tracking, agent observability, GPU profiling, training recipes, synthetic data, data curation, and dataset browsing -- all memory-aware against 128 GB of unified LPDDR5X.
This post walks through what it is, what it runs on, and how it fits together.