NVIDIA Releases Vera Storage Benchmark: CRC Check Performance Improved 3.67x, Multiple Storage Tasks Outperform x86

Odaily News NVIDIA has released Vera CPU storage benchmark results, showing that its NVIDIA BlueField-4 STX storage processor can significantly improve encryption, compression, integrity verification, and data recovery performance in AI-native storage, helping enterprises address the growing data processing demands of the Agentic AI era.

NVIDIA stated that as AI agents perform knowledge retrieval, call tools, manage long-term memory, and handle larger context windows, storage systems are no longer just simple data read/write components, but have become a critical link in the AI inference pipeline. Large volumes of data need to be encrypted, compressed, verified, and recovered along the storage path, tasks typically handled by the CPU, which can become a performance bottleneck for AI infrastructure. Benchmark results show that the BlueField-4 STX storage processor equipped with the Vera CPU delivers performance improvements over a comparison x86 CPU across multiple storage tasks: AES-128 encryption performance improved by up to 1.43x

AES-128 decryption performance improved by up to 1.29x

Reed-Solomon data recovery performance improved by up to 3.26x

CRC32C integrity check performance improved by up to 3.67x

Compression performance improved by up to 3.29x

Decompression performance improved by up to 1.72x

Compression + encryption multi-stage storage pipeline performance improved by up to 3.21x

NVIDIA said that while traditional CPUs typically require adding cores, power consumption, and cooling costs to scale storage processing capabilities, AI-native storage needs to maintain low latency under higher concurrency and larger data volumes. By improving per-unit CPU resource processing capability, Vera helps storage systems support more AI agent workloads without significantly increasing infrastructure costs.