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Remote · United States
ScaleOps offers an autonomous platform that continuously manages cloud and AI infrastructure resources, including CPU, memory, GPU, storage and network, without manual tuning.
ScaleOps builds an autonomous platform for managing cloud and AI infrastructure resources. The system continuously adjusts CPU, memory, GPU, storage and network allocations for cloud-native applications in production, using context-aware automation to match resources to real-time demand. The stated aim is to remove the need for manual tuning, and to do so without trading off application performance.
The ScaleOps Platform covers applications, agents and models running in production. Its technical scope spans Kubernetes and cloud-native resource optimisation, GPU resource management and cost optimisation, positioned as a way to reduce friction between application owners and DevOps teams. The company reports cloud cost savings of 60-80% for customers.
ScaleOps serves more than 50 enterprise customers across enterprise software, cloud computing, DevOps, AI/ML and gaming. It has raised over $210 million in funding. Further details, including the founding year and team size, are not disclosed.
The company describes its mission as freeing software engineers from manual resource management so they can concentrate on building rather than operating infrastructure.