Spectro Cloud secures $75m in Series C funding
Nov 29, 2024 | Posted by Abdul-Rahman Oladimeji
Spectro Cloud has secured $75 million in a Series C funding round. The management company announced earlier this month that it had closed the funding round led by Growth Equity at Goldman Sachs Alternatives, along with participation from existing investors. The funding will be used to aid product innovation with a particular focus on Edge computing.
“What IT leaders need today is a modern approach to comprehensive, full lifecycle management for Kubernetes at scale, one that is optimized to support the unique needs of data centers, clouds, and the Edge,” said Tenry Fu, CEO and co-founder of Spectro Cloud. “We founded Spectro Cloud five years ago aiming to make Kubernetes easy to manage and consume in any environment, and this investment from Goldman Sachs is validation of the tremendous opportunity we have ahead of us.”
“What IT leaders need today is a modern approach to comprehensive, full lifecycle management for Kubernetes at scale, one that is optimized to support the unique needs of data centers, clouds, and the Edge,” said Tenry Fu, CEO and co-founder of Spectro Cloud. “We founded Spectro Cloud five years ago aiming to make Kubernetes easy to manage and consume in any environment, and this investment from Goldman Sachs is validation of the tremendous opportunity we have ahead of us.”
“In the past five years, Spectro Cloud has established itself as a leader in helping organizations realize the true potential of Kubernetes and cloud native technologies, making it more accessible and manageable at scale, across any environment," added Michael Reilly, an investor at Growth Equity at Goldman Sachs Alternatives, who will also be joining Spectro Cloud’s Board of Directors.
“The incredible success Tenry and his team have achieved proves that enterprises are realizing the value. We are excited for the opportunity ahead in multi-cluster environments, especially bare metal deployments in data centers for VM and GPU management, and AI inference at the edge, which could drive tremendous growth.”