Spectro Cloud has secured $100 million to expand its Kubernetes-based AI infrastructure platform, helping enterprises simplify GPU management, AI operations and multi-cloud deployments at scale.
Spectro Cloud has raised $100 million in an oversubscribed Series D funding round to expand its platform for managing enterprise AI infrastructure built on open-source Kubernetes. Led by Growth Equity at Goldman Sachs Alternatives, the round included AMD Ventures, Ericsson, LG Technology Ventures and Maximus, bringing the company’s total funding to more than $260 million.
The company says enterprises are investing heavily in AI hardware but continue to struggle with the software needed to manage GPU infrastructure, networking, storage, security, governance and multi-cloud operations. These challenges are particularly significant for regulated sectors such as healthcare, defence, manufacturing and telecommunications, where Kubernetes is widely used but difficult to scale for AI workloads.
Spectro Cloud’s Palette platform provides a single control plane for deploying and managing Kubernetes-based infrastructure across public clouds, private data centres, bare metal and edge environments. Its PaletteAI extension adds AI-specific capabilities including GPU management, distributed inference and AI infrastructure operations, enabling IT teams to manage infrastructure through a unified software layer.
The company will use the funding to expand PaletteAI, improve GPU utilisation, reduce AI operating costs, grow into neocloud and sovereign cloud markets, and strengthen integrations with chipmakers, server manufacturers and systems integrators.
Tenry Fu, Chief Executive Officer, Spectro Cloud, said, “No two customers are starting from the same place. Some are modernizing legacy infrastructure, some are scaling edge or Kubernetes operations and others are building AI factories or neocloud services. Spectro Cloud gives them one consistent platform to manage that complexity and adapt AI faster without losing control.”
Patrick Rundell, AMD Ventures, added, “As AI moves into production, inference is becoming one of the most important drivers of infrastructure demand. Spectro Cloud’s platform approach addresses a critical challenge for enterprises deploying production inference workloads at scale.”
