What tech stack does VAST Data use?

VAST's product engineering stack is rooted in C and C++ for all performance-critical storage paths. The CNode (stateless compute node) and DNode (NVMe storage enclosure) software is built to extract maximum throughput from NVMe SSDs over RDMA-capable fabrics — either InfiniBand or RoCEv2. The storage OS runs on a Linux base (RHEL-compatible), and the system exposes Kubernetes CSI, NFS v3/v4, SMB, and S3-compatible APIs natively. VAST's engineering job postings consistently require strong C/C++ systems engineering alongside Python, with Linux kernel-level debugging and NVMe driver development cited as core requirements for senior roles.

Python is the primary language for VAST's DataEngine distributed compute layer, for cluster automation and CLI tooling, and for the scripting and pipeline capabilities that let data scientists run compute workloads directly on VAST storage without a separate compute cluster. The 2026 VAST Forward announcement added GPU-acceleration to the stack via NVIDIA cuVS integration: VAST's CNode-X brings GPU-accelerated vector search and data clustering through the cuVS library, enabling real-time embedding search at scale within the VAST DataBase. VAST AI OS runs natively on Microsoft Azure (announced November 2025) using Azure Boost Accelerated Networking, and SyncEngine supports replication to AWS, Azure, and GCP.

VAST also integrates deeply with NVIDIA BlueField-4 DPUs and is embedded in NVIDIA's DGX cluster and BlueField-4 reference architectures — a position that gives VAST hardware-level integration with the dominant AI accelerator ecosystem and makes it the presumed storage default for new NVIDIA GPU cluster deployments.

VAST's public-facing website (vastdata.com) uses Cloudflare for CDN and DNS. The company's marketing infrastructure is consistent with a Salesforce-centered GTM stack: engineering and sales operations job postings at VAST reference Salesforce CRM for enterprise pipeline management, and CMO Marianne Budnik's background at CrowdStrike (which runs Salesforce Marketing Cloud) points toward Salesforce-based marketing automation. Crunchbase's technology fingerprint for VAST confirms Salesforce as part of the commercial stack.

For internal engineering and project workflows, VAST job postings reference Atlassian (Jira for sprint and issue tracking, Confluence for technical documentation) as the standard toolset, alongside Slack for real-time engineering communication and Google Workspace for corporate productivity (Gmail, Docs, Calendar). VAST's customer-facing compliance documentation references SOC 2 Type II audit readiness — consistent with the U.S. Air Force and Department of Energy customer requirements — suggesting a mature IT security posture and likely investment in enterprise identity, endpoint, and audit tooling. VAST Federal (the dedicated government division) indicates a FedRAMP-adjacent compliance stack is actively maintained.

VAST's technical culture is among the most systems-engineering-oriented of any enterprise software company at its scale. The founding team built proprietary storage hardware and protocol software from scratch, and VAST maintains a strong build-versus-buy preference for anything touching the core data path or AI OS stack. Vendors pitching generic infrastructure tools will face deep scrutiny; pitches need concrete, performance-validated integration points with the VAST AI OS.

The most accessible vendor wedges are in the GTM and corporate operations stack, which is scaling rapidly with the post-Series-F headcount push. CRM enrichment and sales intelligence tools (VAST's direct sales team is growing as it enters new verticals and geographies), marketing analytics and ABM platforms (Budnik's hire signals accelerating marketing investment), and HR and talent acquisition tools (26% headcount growth in 2025 creates real pain around recruiting operations) are all credible entry points. On the engineering side, distributed systems observability, code review, and developer productivity tools are the strongest wedges into the Tel Aviv and Haifa R&D teams — especially those with native integration to Atlassian or Slack, where VAST engineers already work.

Enterprise security platforms — particularly those supporting FedRAMP-adjacent compliance requirements — have a structural wedge via the VAST Federal division, which serves the U.S. Air Force, Department of Energy, and other government customers. Any vendor whose reference customers include major AI cloud providers (CoreWeave, xAI, Lambda) will find that shared customer context materially accelerates the conversation with VAST's technical buying committee.