Enterprise-grade Large Language Models (LLMs) require significant computing power, data security, and seamless integration, making hybrid multi-cloud architectures a natural fit. Hybrid multi-cloud allows organizations to balance workload placement for performance, cost, and compliance—running sensitive data on private clouds while leveraging public clouds for scalability. The emma platform streamlines hybrid multi-cloud operations by providing unified management, automation, and governance across environments. This enables efficient deployment, monitoring, and cost control of LLM workloads, ensuring enterprise-grade security, flexibility, and scalability essential for AI innovation.

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