Unverified50% confidencePredictionExact time
无进位乘法获得硬件支持后，批量数据加密、大规模GCM认证、区块链哈希运算等场景可借助GPU数千核心并发处理实现远超CPU的吞吐量
1
Sources
50%
Confidence
Long-term
Relevance
7/17/2026
First Seen
Sources
Related Claims
UnverifiedNVIDIA H100系列引入了Confidential Computing模式，通过片上加密引擎对GPU内存进行实时加密73% similarUnverifiedNVIDIA H100的Confidential Computing模式通过TEE实现GPU内存加密，但会引入约5%的性能开销71% similarUnverified大模型推理本质上是大量矩阵乘法运算，GPU拥有数千个并行计算核心适合这类任务70% similarUnverifiedNVIDIA Hopper架构引入Confidential Computing功能，可在GPU内存中加密保护模型权重和推理数据70% similarUnverifiedA mid-range GPU can achieve tens to hundreds of times the matrix computation throughput of a CPU69% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/541242API
curl https://kongchang.com/api/v1/knowledge/claims/541242MCP
get_claim(id=541242)