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Oxide Computer

Rack-scale cloud computers for on-premises use

Raised to date

$698.2M

of $755M offered across 3 Form D filings

Still open
$56.8M
Investors
15
Last filed
Aug 4, 2026

About

Oxide Computer Company designs and manufactures the Oxide Cloud Computer, a rack-scale system that integrates compute, storage, networking and software into a single unit for on-premises deployment. The hardware is purpose-built and the software stack, including firmware, is open source, giving customers a cloud-style API, console and CLI on infrastructure they own. It was founded in 2019 by Steve Tuck and Jessie Frazelle and is based in Emeryville, California. The company has raised roughly $378M across four rounds, most recently a $200M Series C led by Thomas Tull's US Innovative Technology Fund with participation from Eclipse, Riot Ventures and Jane Street.

A single vendor ships the whole rack -- boards, power, networking switch, firmware and control plane -- as one integrated, open-source product, so customers get a public-cloud developer experience on hardware they own, with no egress fees, no per-socket hypervisor licensing and a hardware root of trust.

Funding

$445M round, first sold Jul 2026$445M soldJul 2025Jan 2026Jul
Now
  • EquityFiled Aug 4, 2026Form D
    $445M/ $445M
  • EquityFiled Jan 7, 2026Form D
    $184M/ $200M
  • EquityFiled Jul 17, 2025Form D
    $69.2M/ $110M

Product

Oxide Cloud Computer

Integrated rack-scale cloud infrastructure

A rack-scale integrated cloud computer combining AMD EPYC compute sleds, NVMe block storage, a P4-programmable network switch and an open-source control plane, delivered as a single system that initializes in roughly two hours.

  • Elastic compute: on-demand virtual machines and Kubernetes orchestration on AMD EPYC processors
  • Elastic networking: isolated virtual private clouds with P4 programmable switching
  • Elastic storage: NVMe block storage with triple-mirror data protection

Built for

Enterprises and public-sector organizations running significant on-premises workloads -- financial services, technology and AI inference, life sciences and HPC -- including teams looking for a VMware alternative

People on file