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The best hardware for local AI, compared
Five ways to run local AI inference, side by side: a plug-and-play Lucebox, cloud APIs, a DIY GPU build, an NVIDIA DGX Spark, and a Mac Studio. Cost, setup, throughput, privacy, and support, no spin.
| Lucebox | Cloud API | DIY GPU build | DGX Spark | Mac Studio | |
|---|---|---|---|---|---|
| Upfront cost | $6,499 offer | $0 | ~$2,500–4,000 | ~$4,000 | ~$4,000–7,000 |
| Ongoing cost | Electricity only | Per token, forever | Electricity only | Electricity only | Electricity only |
| 27B throughput | Published reference: 207 tok/s | Varies | Stock, untuned | ~3× slower (est.) | ~3× slower (est.) |
| Setup | Plug in, pair, go | API key | Hours to days | Manual | Manual |
| Privacy | Fully local | Data leaves | Fully local | Fully local | Fully local |
| Tuned engine | lucebox-hub, pre-tuned | n/a | You tune it | Stock | Stock |
| Memory | 32 GB VRAM + 128 GB unified | n/a | 32 GB VRAM | 128 GB unified | up to 512 GB unified |
| Support / warranty | 1-year, parts & labor | SLA | None | Vendor | Apple |
| Open source | Yes | No | Yes | Partial | No |
Lucebox vs cloud APIs
Cloud APIs have zero upfront cost and infinite scale, which is the right call for spiky or low-volume work. The trade is that the meter never stops and your prompts and data leave your machine. For a steady workload, a one-time $6,499 Lucebox is several times cheaper over two years, and nothing ever leaves the box.
Lucebox vs a DIY GPU build
You can source a workstation GPU and assemble a box yourself. What you do not get is the Radeon AI PRO R9700 and Strix Halo memory pairing, the hand-tuned lucebox-hub inference engine, a thermal system proven under sustained load, models pre-loaded, and a warranty. Lucebox is the build we wanted, done and tested.
Lucebox vs DGX Spark and Mac Studio
On the same 27B-class model, the published Lucebox reference result is about three times the estimated throughput of a DGX Spark or Mac Studio running a stock stack. The new machine pairs a Radeon AI PRO R9700 with Strix Halo unified memory and tunes the runtime to the exact silicon. Our engineering history remains public, including up to 207 tok/s in the prior CUDA reference run and 10x faster long-context prefill.
New to this? Start with what a local-inference PC is and how to run AI models locally, then come back to pick the hardware.
The short version. If you run local AI regularly and want it fast, private, and a fixed cost, Lucebox is the turnkey option. Apply to reserve a unit from the strictly limited first batch.
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