🔥🔥#RK1828 vs. #RK1820: 32K context. Fully local.
This is a dev post classified by Jev as Hosting & infra (a launch), kept by the Dev Radar because it carries real work, not commentary.
🔥🔥#RK1828 vs. #RK1820: 32K context. Fully local. We pushed long-context AI inference further on the #reComputer RK3576 Dev Kit with #Qwen3 running locally: ⚡ RK1828 + Qwen3-4B → 32K NIAH: 12/12 PASS → 74.75 tok/s generation → ~300 ms TTFT 🚀 RK1820 + Qwen3-1.7B → 24K NIAH: 12/12 PASS → 114.85 tok/s generation → ~694 ms TTFT After 120 / 132 rounds and around 16K tokens of multi-turn conversation, both configurations were still able to correctly recall key information. See what edge AI can do when the compute stays on-device. 🛒 reComputer RK3576 Dev Kit: https://www.seeedstudio.com/reComput
Posted by Seeed Studio (78.3k followers) 1 days ago · 37 likes · 2.5k views · view the original post on X. Kept by the Dev Radar as Hosting & infra. Tools mentioned: reSpeaker Clip.
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