Gemma 4 26B runs on an iPhone 17 Pro via model paging
Agreeable-Rest9162 · reddit · 2026-07-25
Noema founder says Gemma 4 26B A4B is running on an iPhone 17 Pro using model paging.
The setup keeps non-expert weights in RAM and reads expert weights from SSD, trading speed for the ability to run a much larger model on-device. The post reports a 699-token prompt, 34.4 tokens/s prefill, 20.34 seconds prefill time, and 3.5 tokens/s decode speed. The full answer took about 6 minutes, but the author argues that the approach could be useful when accuracy matters more than latency, including on low-RAM MacBooks.
More from Infra
- Anthropic S-1 reveals 48 cents of compute cost per dollar of Q2 revenue — nmasc_ · 2026-10-26
- Persistent AI joins UR network to route private AI inference with encrypted, IP-hidden traffic — 0xSammy · 2026-10-26
- Anthropic's disclosed compute commitments: $114.5B Google, $161.2B Broadcom top the list — BenBajarin · 2026-10-26
- SpaceX strikes $40B deal with Apollo Global to lease AI chips and data center hardware — Polymarket · 2026-10-26
- SpaceX AI revenue up 830%, Claude designs 318K antivenom proteins in 64 hours — PeterDiamandis · 2026-10-26
- Meta plans up to $95 billion stock sale to fund AI buildout — The Decoder · 2026-10-26