EMERALD CONDUCTOR

Downloadable software for facilitating flexible power consumption by data centers and computing facilities, including by orchestrating and dynamically reallocating computing workloads to convert rigid compute demand into flexible load; downloadable software using artificial intelligence for workload scheduling, load shaping, and compute-power optimization; Downloadable software for simulating integrated operation of power grids and large electrical loads and generating predictive control signals with virtual, real-time replicas of physical objects, systems and environments; Downloadable software employing artificial intelligence (AI)-driven optimization algorithms to co-optimize computing load, battery storage, and on-site or remote electrical generation

Software as a service (SaaS) featuring software for controlling computing facility and data center power consumption, including by orchestrating, scheduling, and optimizing computing workloads to create flexible, dispatchable compute load; SaaS featuring artificial-intelligence and machine-learning software for reshaping, shifting, and modulating workload execution based on power-system conditions, performance criteria, or market events; Platform as a service (PaaS) featuring application-programming interfaces (APIs) for integrating workload-telemetry data, grid signals, and energy-management constraints into automated workload-orchestration engines; Software as a service (SaaS) services featuring artificial-intelligence and machine-learning algorithms for modeling, forecasting, and optimizing electricity consumption of data-center, cloud-computing, high-performance computing, and artificial intelligence workloads; Software as a service (SaaS) services featuring software for monitoring, analyzing, and controlling electric-grid conditions, demand-response events, and power-system reliability; Software as a service (SaaS) services featuring artificial intelligence (AI) software for real-time orchestration, scheduling, and power capping of computing workloads, battery systems, and other electrical infrastructure to meet grid constraints and computing performance targets; Software as a service (SaaS) services featuring software for telemetry collection and visualization from graphics processing units (GPUs), servers, facilities, and electrical or storage assets to safeguard and optimize data-center performance; Providing temporary use of non-downloadable cloud-based software for coordinating interactions between utilities, system operators, and large electricity consumers to increase grid reliability and unlock interconnection capacity; Platform as a service (PaaS) services featuring application programming interfaces (APIs) for integrating utility signals, market prices, and computational workload performance into automated power-aware workload-management systems; Cloud-computing software services featuring non-downloadable software for predictive maintenance, fault detection, and resilience analysis of data-center and power-infrastructure assets; Providing online non-downloadable software employing artificial intelligence (AI)-driven optimization algorithms to co-optimize computing load, battery storage, and on-site or remote electrical generation; Providing online non-downloadable software for providing dashboards that generate reports, alerts, and compliance documentation related to energy usage, computing workload performance, and grid-service participation