VCF / VCF9 · July 3, 2025

Storage Innovation in VCF 9 – High Performance & Efficiency for Modern Workloads

💾 Introduction

Modern workloads—from databases to AI/ML pipelines—demand storage that is fast, scalable, and efficient. VCF 9 addresses this with a next-gen storage stack that merges flexibility, automation, and performance—all while simplifying operations for the private cloud.


🛠️ 1. vSAN Express Storage Architecture (ESA)

  • VCF 9 enables ESA for improved metadata efficiency and space savings—ideal for flash-heavy environments.

  • In performance benchmarks, tests show 3-4× lower latency under heavy metadata workloads (e.g., virtual desktops, container spikes).

  • Architecture includes a now-reduced Flash Capacity Tier and optimized metadata cluster—perfect for mixed workload consolidation.


🔧 2. Global Deduplication & Compression

  • New cross-node dedupe achieves storage savings up to 30% in highly redundant data environments (VDI images, dev/test containers).

  • Compressed writes further reduce network and storage footprint while vSAN intelligently chooses between inline or post-process methods.


3. NVMe & NVMe-oF Support

  • VCF 9 supports NVMe drives and remote NVMe-over-fabric—achieving up to 3× the throughput vs. SAS/SATA SSDs.

  • Beneficial for workloads like AI/ML training, video processing, and high-performance databases.


🌐 4. Tiering & Storage Efficiency

  • NVMe tiering adds a third performance tier that bridges capacity SSDs and DRAM—ideal for cost-performance balance.

  • VM-level policies determine tier placement, optimizing workload placement and cost.


📦 5. vVol, NFS, and VMFS Enhancements

  • vVol enhancements include advanced replication and namespace features.

  • Support for NFS 4.1 and 4.2 improves compatibility with third-party storage arrays and NAS appliances.

  • VMFS enhancements include better dead space reclamation and improved locking mechanisms.


📈 Real-World Scenario: AI Training Cluster

A biotech firm used VCF 9 with NVMe and ESA to create a GPU+storage cluster for genomics processing. The result:

  • 2× faster training time for deep learning models

  • 25% lower storage costs via dedupe/compression

  • Zero downtime policy-based failover


🎯 Business Benefits

Feature Business Value
ESA + NVMe High performance with reduced TCO
Deduplication Cost savings for redundant data
Tiering Optimized capacity use
Scale-out Seamless multi-node expansion
Administration Storage policies enforce uniformity

🏁 Conclusion

VCF 9’s storage stack redefines private cloud efficiency. With performance enhancements, space savings, and smart automation, it supports the most demanding workloads—no compromise between speed and simplicity.