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Why Helix + Luna? Helix allows companies seeking to leverage LLMs while retaining complete control over data and infrastructure. By utilizing Helix, organizations can connect their data—either locally or through APIs—to powerful AI models without transferring sensitive information outside of their ecosystem. Helix’s solution empowers companies to deploy open-source LLMs on their own resources, including cloud-based Kubernetes (K8s) clusters. This approach provides the scalability and resilience of cloud infrastructure with the privacy and control of on-premises deployment. Designed to meet the needs of modern enterprises, Helix enables robust AI integration, whether for enhancing customer interactions, streamlining internal workflows, or extracting valuable insights from vast data sets.
Elotl Luna is a smart Kubernetes cluster autoscaler that runs on the 4 major K8s cloud platforms, i.e., AWS EKS, GCP GKE, Azure AKS, and Oracle OKE. It adds and removes right-sized compute instances from cloud Kubernetes clusters as needed, thereby reducing operational complexity and preventing wasted spend. Luna is ideally suited for deploying AI/ML platforms running bursty workloads that need special expensive resources such as GPU. Combining Helix with Luna in a cloud Kubernetes cluster adds dynamic resource management to Helix, allowing compute instances to be allocated on demand to handle the Helix workload, and later deallocated when no longer needed. This flexible scaling improves efficiency and reduces costs, particularly important when expensive cloud GPU resources are used.
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