| Investments vs Potential (IFT189C) |
| HPE Ezmeral ML Ops |
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HPE Ezmeral ML Ops is a container-based software platform designed to streamline the lifecycle of ML models. It supports model training, deployment, and management at scale. Key features include support for Kubernetes, version control for models, and integration with popular ML frameworks such as TensorFlow and PyTorch.
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| HPE Apollo systems |
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HPE Apollo Systems are high-performance computing (HPC) solutions optimized for AI workloads. They feature powerful GPUs and CPUs, along with high-speed interconnects, enabling rapid data processing and complex AI computations. Apollo systems are scalable and designed for AI-driven insights in industries like research, finance, and healthcare.
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| HPE AI data node |
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The HPE AI Data Node is a converged system purpose-built for AI and analytics workloads. It combines storage, computing, and networking in a scalable architecture. It supports leading AI frameworks and includes optimized data management capabilities for large-scale data analytics and ML applications.
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