Unverified50% confidenceCautionExact time
即便采用INT8量化和优化注意力机制，24GB显存显卡在面对2.5mp加12秒的生成任务时仍可能显存不足
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
8/31/2026
First Seen
Valid until: 11/29/2026
Sources
Related Entities
Related Claims
Unverified序列长度为4096时，N×N注意力矩阵在FP16精度下仅此一项就消耗约64MB显存75% similarUnverified相比32GBx2（64GB）方案，48GBx2在相同频率和时序下内存性能（带宽和延迟）可能略有损失，因为非幂次颗粒排列方式对性能有微小影响72% similarUnverified170k tokens场景下，注意力得分矩阵在BF16精度下约需54GB显存（170000×170000×2字节）71% similarUnverified分辨率越高多任务并排越多，但5120×1440对显卡输出压力大且部分老软件在超宽比例下UI拉伸错乱，办公兼容性上3440×1440更稳妥70% similarUnverified12GB显存是运行Turbo模型较为舒适的下限，显存更小的显卡可能需要降低分辨率或采用更激进的量化方案如INT470% similar
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