科技爱好者周刊（第 404 期）：你需要知道的 AI 内存知识
Read Original文章深入比较了两种本地运行AI模型的硬件方案：独立显卡（如RTX 5090）与板载芯片组（如AMD Strix Halo迷你PC）。指出虽然独立显卡算力强，但显存容量小（32GB），无法运行70B参数的大模型；而板载芯片组拥有128GB统一内存，可加载大模型，但内存带宽低导致Token生成速度慢。文章还介绍了MoE模型如何缓解带宽瓶颈，并给出了布尔变量命名的实用技巧（is-/has-/can-/should-前缀）。最后附带科技动态，包括OpenAI键盘、天问二号探测小行星等。
Comments
No comments yet
Be the first to share your thoughts!
Browser Extension
Get instant access to AllDevBlogs from your browser
Top of the Week
1
Limit token usage in Microsoft Agent Framework
Jesse Liberty
•
1 votes
2
How to Roll Back AI Agents: Incident Response, Circuit Breakers, and Recovery Patterns
Paul Bryant
•
1 votes
3
Avoiding Reasoning Model Failures with Microsoft Foundry
Luke Murray
•
1 votes
4
When Your AI Agent Lies: Silent LLM Fallbacks
Luke Murray
•
1 votes
5
Adding a custom MCP server to Claude and ChatGPT
Simon Willison
•
1 votes
6
Testing AI prompts and comparing models with promptfoo
Tim Deschryver
•
1 votes
7
Superlogical
Mitchell Hashimoto
•
1 votes