NVIDIA Vera Storage 基准测试：为 AI 原生存储带来更快的加密、压缩、完整性校验与恢复
NVIDIA Vera Storage Benchmarks: Faster Encryption, Compression, Integrity Checking, and Recovery for AI-Native Storage
NVIDIA 公布 Vera Storage 基准测试结果，针对智能体 AI 工作流中的加密、压缩、完整性校验与恢复性能进行评测。该存储需持续支撑企业知识检索、持久内存访问和 KV cache 复用等操作，每个智能体步骤可能触发多次存储操作并在流程中重复。
Storage is an active part of every agentic AI workflow. As agents retrieve enterprise knowledge, access persistent memory, reuse key-value (KV) cache data,...
Storage is an active part of every agentic AI workflow. As agents retrieve enterprise knowledge, access persistent memory, reuse key-value (KV) cache data, execute tools, and generate new results, storage systems must continuously supply and preserve the data that moves the agent reasoning loop. Each agent step can trigger multiple storage operations, and those operations can repeat across…
来源：NVIDIA Developer Blog · developer.nvidia.com