Vultr operates a distributed cloud platform spanning 185 countries, built on a deeply technical stack centered on Kubernetes, Ceph, KVM, and observability tools (Prometheus, Grafana, Loki). The company is engineering-heavy and operations-driven, with hiring concentrated in infrastructure roles and senior positions—reflecting the capital-intensive, mission-critical nature of running global data centers. Active projects span storage automation (Ceph), network scaling, and data center expansion, while pain points cluster around RDMA optimization, platform reliability, and infrastructure efficiency.
Vultr provides cloud compute, GPU, bare metal, and storage infrastructure to enterprises and AI-focused customers globally. Founded in 2014, the company has grown to 201–500 employees across offices in the United States (West Palm Beach headquarters), Australia, and India. The product portfolio is built on open infrastructure standards—KVM, Ceph, Kubernetes—and instrumented with enterprise-grade observability (Prometheus, Grafana, Loki). Billing and ERP run on Salesforce and NetSuite, with data analytics powered by BigQuery and Looker. The customer base spans hundreds of thousands of active accounts, with a focus on developers, AI practitioners, and mid-market enterprises seeking cost-effective, geographically distributed infrastructure.
Vultr operates Cloud Compute, Cloud GPU, Bare Metal, and Cloud Storage solutions across 185 countries. The platform is built on Kubernetes, Ceph (distributed storage), KVM hypervisor, and Open vSwitch networking.
Core infrastructure: Kubernetes, KVM, QEMU, Ceph, libvirt, Open vSwitch. Observability: Prometheus, Grafana, Loki, Mimir. Languages: Go, Rust, Python. Analytics: BigQuery, Fivetran, Looker. ERP: Salesforce, NetSuite.
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Vultr's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.