And if you do think it does genuinely (professionally or otherwise) help you, what do you use it for? 128GB would also interest me. Reason is that I need a new Macbook and I'm considering how much RAM I'll get.
Thank you
[link] [comments]
Are there actually people here that get real productivity out of models fitting in 32-64GB RAM, or is that just playing around with little genuine usefulness?
Reddit r/LocalLLaMA / 4/24/2026
💬 OpinionSignals & Early TrendsTools & Practical Usage
Key Points
- The post questions whether anyone can derive real, practical productivity benefits from running LLMs on machines with only 32–64GB of RAM rather than much larger memory setups.
- The author is weighing a new MacBook purchase and wants to understand what amount of RAM is genuinely necessary for useful model fitting or local usage.
- The discussion asks respondents what concrete tasks they perform with models at smaller memory footprints and what they would use additional RAM (e.g., 128GB) for.
- Overall, it’s a community prompt focused on feasibility, real-world utility, and hardware planning for local LLM workflows.
submitted by /u/ceo_of_banana
[link] [comments]
Related Articles
Black Hat USA
AI Business
AI productivity tools 2026: top 10 tools for remote teams
Dev.to
How I Use GitHub Copilot + RapidForge to Generate Daily Stock Ideas
Dev.to
Big Tech firms are accelerating AI investments and integration, while regulators and companies focus on safety and responsible adoption.
Dev.to
Anthropic CVP Run 3 — Does Claude's Safety Stack Scale Down to Haiku 4.5?
Dev.to
