5-10 sessions?! Wow, not sure how you keep track of those.
For all my daily use + Codex Desktop and some local AIs in Ollama/LM Studio (which power my Home Assistant Voice Assistants) I have an Mac Studio M4 Max with 48GB of RAM (Which I bought early last year IIRC)
It's a complete beast and runs GPT-OSS 20B at over 100 tok/sec. The GUI never slows down, and I run Sequoia still, so it is always smooth and polished. I've also never heard the fans.
I got mine for $2250 USD because I am eligible for the student discount. I got the base 512GB SSD because I store most stuff on external SSDs/HDDs anyway.
Nice thanks for the info. 48gb ram would be a dream
Yeah I go back and forth using more or less sessions. Was always a fan of kanban, less WIP better, but some sessions are just slow so I end up starting new ones.
Sure! I know the M3 series are still super fast chips, so I wonder what is slowing down...your CPU itself, RAM getting full, OS bloat...? Seems wild to me that processes that run in the cloud would take so many resources.
Comments
5-10 sessions?! Wow, not sure how you keep track of those.
For all my daily use + Codex Desktop and some local AIs in Ollama/LM Studio (which power my Home Assistant Voice Assistants) I have an Mac Studio M4 Max with 48GB of RAM (Which I bought early last year IIRC)
It's a complete beast and runs GPT-OSS 20B at over 100 tok/sec. The GUI never slows down, and I run Sequoia still, so it is always smooth and polished. I've also never heard the fans.
I got mine for $2250 USD because I am eligible for the student discount. I got the base 512GB SSD because I store most stuff on external SSDs/HDDs anyway.
Nice thanks for the info. 48gb ram would be a dream
Yeah I go back and forth using more or less sessions. Was always a fan of kanban, less WIP better, but some sessions are just slow so I end up starting new ones.
Sure! I know the M3 series are still super fast chips, so I wonder what is slowing down...your CPU itself, RAM getting full, OS bloat...? Seems wild to me that processes that run in the cloud would take so many resources.