Rivanna uses SLURM. You don't run code directly on the login node (they will yell at you). You write a submission script (a .sbatch file).

Rivanna beats cloud for most memory-bound or I/O-heavy jobs. Cloud is better for bursting to 500+ GPUs.

⭐⭐⭐⭐½ (4.5/5) Best for: UVA-affiliated researchers in need of moderate- to large-scale computational power (bioinformatics, AI/ML, engineering, social sciences). Not ideal for: Absolute beginners to command-line interfaces or those requiring near-exclusive GPU access.

Rivanna supports a vast stack of pre-installed software, allowing researchers to skip complex installations and get straight to their data. High Performance Computing

✅ Yes if you are at UVA and need:

❌

Here are 3 quick tips to optimize your workflow on Rivanna:

If you are a researcher or student at the University of Virginia crunching numbers on a laptop, you are likely wasting time. The cluster is UVA’s hidden gem for accelerating research, but many users underutilize its power.