Tech
[Local LLM] 本地大模型：统一内存(UMA)和显存+内存(分层卸载), 统一内存 UMA 才是普通用户的未来！
UMA 统一内存，GPU 直接访问共享内存池，硬件层面消除显式拷贝，不用软件层手动搬数据。
独立显卡 VRAM + 系统内存分层卸载，模型权重、KV Cache 按需在显存和内存之间动态搬运。未来只会留在发烧友、工作站、专业推理场景
Read the full discussion on V2EX
This article was aggregated from V2EX. Click to join the conversation.
View on V2EX
Related Trends in Tech
🌍
A task feed should distinguish a reference from a result
BriefBill: Turning Vague Client Briefs into Clear Freelance Quotes with Local Gemma 3
Android developer verification: four countries first, global in 2027
Invoice AI
InvoiceGenie: The 100% Private, Local AI Financial Assistant & Receipt Sorter 🧾
How Unicode Text Generators Create Aesthetic Fonts