With 96 GB+,
here is what really runs.
Experiences reported by people using their machines every day. Not a performance promise: a concrete place to start.
in this range
Coaching elite athletes with a 2x DGX Spark cluster
A cycling and running coach runs client-facing coaching assistance on a small DGX Spark cluster, good enough for national-champion-level clients — at a cost the coach openly questions.
Two DGX Sparks as a daily driver, ROI aside
This person knows Qwen 3.8 Flash Next on two DGX Sparks can't match frontier intelligence, and says that's not really the point for them.
Three rigs for freelance work an NDA won't let leave the building
Client confidentiality rules out cloud APIs for this freelancer, who spreads different model sizes across three separate machines.
An RTX 6000 Pro and an M4 Max, benchmarked against an active Claude Max plan
This person kept paying for Claude Max specifically so they'd have a real comparison point for their own coding hardware — and admits the math still doesn't favor local.
98% local, on a self-extended Pi Agent 'software factory'
DeepSeek V4 Flash Vision on two DGX Sparks, wrapped in a heavily extended Pi Agent setup, handles nearly all of this person's hands-off work.
Eight A100s in tensor-parallel, inside a company with a hundred more
A large enterprise deployment: eight A100 80GBs running Qwen 3.8 under SGLang with tensor parallelism, while the company brings newer B200s online for bigger models.
A HIPAA-style internal LLM platform, built on a cluster of DGX Sparks
Beyond personal daily use, this person stood up a Spark cluster for a client so their employees get an internal, compliance-friendly LLM platform.
A cardiologist's referral system, fully air-gapped
Referral triage that extracts details, standardizes them, and suggests categories and tests — with the final call always left to a doctor, and nothing ever leaving the network.
Academic and policy research on an M5 and a DGX Spark
Purpose-built tools around a personal research corpus, plus Hermes as an interactive research assistant, get this researcher roughly 80% of the way to frontier quality — locally.