VAST Data
A disaggregated all-flash data platform providing unified access via S3, NFS, and SMB protocols, optimized for AI and deep learning workloads with consistent low latency.
Summary
A disaggregated all-flash data platform providing unified access via S3, NFS, and SMB protocols, optimized for AI and deep learning workloads with consistent low latency.
VAST Data targets the convergence of AI/ML workloads and object storage. Its all-flash architecture eliminates the cold scan latency that plagues spinning-disk object stores, while the S3 interface maintains ecosystem compatibility.
- Not just object storage. VAST is a unified data platform where S3 is one of multiple access protocols. Evaluating it solely as an S3 alternative misses its multi-protocol value.
- All-flash means higher per-GB cost than HDD-based object stores. The value proposition is performance per dollar, not lowest cost per GB.
implementsS3 API — S3-compatible interfacesolvesCold Scan Latency — all-flash eliminates seek latency
Definition
A disaggregated, all-flash data platform providing S3-compatible object storage alongside file (NFS/SMB) and database access on a single unified architecture optimized for AI workloads.
AI/ML workloads need both high-throughput object storage and low-latency file access. VAST eliminates the need for separate storage systems by unifying all protocols on an all-flash platform with S3 compatibility.
AI/ML training data platform, unified NFS+S3 storage, high-performance analytics, GPU-direct data access.
Recent developments
- Series F at $30B valuation — $1B round led by NVIDIA's AI-storage bet. Per VAST Data's press release on the Series F financing (April 22, 2026), VAST closed a $1B Series F at a $30B valuation. NVIDIA participation flagged across coverage as the marquee AI-infrastructure signal — VAST's positioning as the unified storage substrate for AI-training data loops is now backed by the GPU vendor with the most direct interest in storage stops being the bottleneck.
- "Collapsing the Stack" strategy — own the AI data loop end-to-end. Per Futurum's "Collapsing the Stack" analysis (February 27, 2026), VAST's strategic frame for 2026 is consolidating the AI-data-pipeline tiers (object + file + database + lineage) onto a single all-flash platform — competing not just with object stores like FlashBlade and StorageGRID but with the broader "AI data lake + feature store + RAG infrastructure" surface that has historically been a multi-vendor patchwork.