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ScaleOps is autonomous orchestration for AI infrastructure. Every agent, inference model, and application you run in production, autonomously orchestrated. ScaleOps acts on full workload context in real time, continuously allocating and scaling CPU, GPU, and memory to keep workloads reliable, take configuration off engineering, and optimize cost. No manual tuning. No implementation or code changes. Install in minutes, start in read-only mode with zero risk, and go autonomous when ready. ScaleOps Core orchestrates applications and agents. ScaleOps GPU orchestrates models. Trusted by enterprises running Kubernetes at scale.

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Yodar Shafrir is the Co-Founder and CEO of ScaleOps - Cloud-Native Optimization.

129 people are employed at ScaleOps - Cloud-Native Optimization.

ScaleOps - Cloud-Native Optimization is based in New York, New York.

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