Quiet + high bandwidth
Best fit for very large local model experiments and low-friction office use — but Apple’s current product page lists only 36–96 GB configurations, so the former 512 GB planning reference is not presently buyable from Apple.
Current hardware remains scarce and expensive while new higher-memory systems are approaching. Ethos should use the wait to prove its workflows, then buy into better cost efficiency.
Framework previewed a Ryzen AI Max+ PRO 495 desktop with 192 GB LPDDR5X, faster memory and an open PCIe slot for clustering. Pricing and ship date remain unannounced.
Kimi K3 shipped as a 2.8T-parameter MoE with MXFP4 weights. The lesson is architectural: “open” does not guarantee “single-node local.” Route frontier-scale work instead of overbuying for it.
DGX Spark’s July software release improved unified-memory OOM handling and added fleet provisioning features. The category is moving from demo box toward operable infrastructure.
Framework, July 27 · Moonshot AI / Kimi K3 · NVIDIA DGX Spark release notes
Best fit for very large local model experiments and low-friction office use — but Apple’s current product page lists only 36–96 GB configurations, so the former 512 GB planning reference is not presently buyable from Apple.
CUDA-native agent development, 273 GB/s memory bandwidth, 10GbE and ConnectX-7. Stronger software path; lower memory ceiling.
More memory at the compact-PC tier with Linux and clustering intent. Interesting, but still preview-stage until price, availability and independent workload results exist.
Apple: current Mac Studio configurations · NVIDIA: DGX Spark specifications · Framework: 192 GB coming soon
Open weights let organizations inspect and adapt models to their own needs; lightweight LoRA adapters make that tuning more efficient.
These thresholds are proposed decision rules, not external benchmarks. Change them before procurement if Ethos has stricter service or compliance requirements.
Updated position: preserve the ≤$20K ceiling, spend only on the evaluation path, and keep the final hardware choice open.