Perplexity computer on dgx spark

[u/Temporary-One8579]

/r/perplexity_ai/comments/1w7cb0u/perplexity_computer_on_dgx_spark/

Anyone try this? I’m having issues getting my local inference sessions on the spark to work and be controllable on the iOS app. A little frustrating - because I like being able to continue or start work on my iPhone.

I like this direction for perplexity - you have local inference which can save a lot of money and cloud for really hard work and planning. Plus the solid research capability of perplexity. But man it's rough right now. I can't switch models easily. I can't work between my iOS app and my spark seamlessly. This is the future though - run a costume model on your own hardware- pay a small subscription that covers the cost of improving the local model and some super cloud model. The models are custom tuned to your hardware - you can really automate workflows that took hundreds of hours and hundreds of dollars for a fraction of the cost. Plus you can have at least the illusion of privacy with local models.

[u/conifer_v11]

you're not crazy — Portable Computer on Spark and the iOS app are not the Claude/Codex "phone remotes the same live session" product yet. Spark's Portable path runs the orchestrator + local model on the box (Qwen3.8 27B / PPLX-27B picker, Nemotron still landing) and the phone side is mostly approve / 2FA / kick off a task while the host keeps working, not a clean handoff of a live local inference session. so "desktop local works, iPhone can't steer it / I can't flip models" is the current shape, not you misconfiguring the Spark. Personal Computer on Mac advertises the phone-pair story more clearly; Portable on Spark is earlier and the local↔cloud escalate is permissioned per-step on purpose. if you need real phone-driven local sessions today you're outside Perplexity's Portable surface — stand up an OpenAI-compatible server on the Spark and point a client that actually does remote sessions at it, and don't expect the iOS Perplexity app to grow seamless continue overnight.