A participant in an Nvidia hackathon won a Dell DGX Spark GB10 and asked the online community for advice on how to make the most of this powerful workstation.

Previous Use

Previously, the winner used the DGX Spark GB10 for inferencing a Nemotron 30B model via vLLM, an operation that required over 100 GB of memory. The user, who defines himself as a "noob", is looking for new ideas to make the most of the hardware at his disposal.

Initial Proposals

One of the first ideas is to run multiple instances of NextJS simultaneously, given that a single instance consumed over 60 GB of memory. This suggests the possibility of using the DGX Spark GB10 for more intensive web development workloads.

For those evaluating on-premise deployments, there are trade-offs to consider. AI-RADAR offers analytical frameworks on /llm-onpremise to evaluate these aspects.