The Red Hat Ecosystem Catalog is the official source for discovering and learning more about the Red Hat Ecosystem of both Red Hat and certified third-party products and services.
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Memory Machine AI is software used in the data center for AI workflow orchestration, GPU scheduling, transparent checkpointing, and memory management.
Memory Machine for AI addresses challenges of the AI era and GPU utilization head-on. Designed specifically for AI training, inference, batch, and interactive workloads, the advanced software allows your workloads to surf GPU resources for continuous optimization.
Serving GPU on-demand, Memory Machine ensures your clusters are fully utilized, delivering GPU-as-a-Service for superior performance, security, user experience, and cost savings.
Ensure uninterrupted job execution by transparently migrating user jobs to available hardware resources when the original GPUs become unavailable, maintaining continuous operation and maximizing resource efficiency.
Seamlessly move user jobs across the AI Platform, safeguard against out-of-memory conditions, and prioritize critical tasks by automatically suspending and resuming lower-priority jobs, ensuring uninterrupted and efficient resource management.
Intelligent GPU sharing algorithms eliminate idle resources and maximize utilization.
Easy-to-use UI, CLI, and API for seamless workload management. The user interface provides proactive monitoring and optimization.
Optimizes user jobs for the available hardware by employing a variety of advanced scheduling policies and algorithms to ensure maximum efficiency and performance.
Optimize resource utilization by dynamically reallocating idle GPUs from other projects, ensuring efficient use of available hardware and minimizing downtime.
Red Hat certified products are tested to meet Red Hat’s criteria and supported as defined in the Red Hat Collaborative Support Process.
Partner validated products are tested by Red Hat Partners and supported as defined in the Red Hat Third Party Component Policy.
Red Hat OpenShift 4.16+