Has anyone here used a DGX Spark to serve multiple users?

<!-- SC_OFF --><div class="md"><p>Actually I'm not someone with particularly deep technical knowledge but I want to build a product, and instead of paying Claude a lot of money,

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1x7q02c/rtx_spark_is_faster_than_dgx_spark/"> <img alt="RTX Spark is faster than DGX Spark"

<!-- SC_OFF --><div class="md"><p>Posting this here since you guys are the more tech-savvy compared to <a href="/r/StableDiffusion">/r/StableDiffusion</a>. </p> <p>I’m looking at

<!-- SC_OFF --><div class="md"><p>doing infrastructure evaluation for inference workloads and running into the same problem everywhere: every platform publishes p50 cold start

<!-- SC_OFF --><div class="md"><p>A noticeable trend is happening: more users are moving away from heavily aligned cloud models (like ChatGPT, Claude, Gemini) toward local or

<!-- SC_OFF --><div class="md"><p>I am looking for recommendations on the best way to run local LLMs on NVIDIA DGX Spark.</p> <p>Which stack makes the most sense in practice:

<!-- SC_OFF --><div class="md"><p>Looks like they are sending a dgx spark for $4499. I couldn't find much information on them but I keep getting Instagram ads repeatedly(even

<!-- SC_OFF --><div class="md"><p>After burning way too much money on GPT-4 API calls, I finally went all-in on local models with Ollama. The progress in 2026 is insane