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ZS

Ziani Systems

Zianii provides a Power Asset Orchestrator (PAO) that continuously monitors grid dispatch signals and dynamically throttles GPU workloads in real time, allowing AI infrastructure to act as a flexible, grid‑responsive load. Its GPU‑FLX™ software modulates power consumption across NVIDIA, AMD, and Intel GPUs without additional hardware or driver changes, maintaining service levels while supporting ancillary services and demand response.

Southlake, United States · HQ
210+ followers
Updated 1 month ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Grid operators and data center managers must balance electricity demand with supply while maintaining performance SLAs for GPU‑intensive AI workloads. Traditional approaches require manual intervention or dedicated hardware to modulate power consumption, leading to delays and inefficiencies.

Solution

Zianii’s Power Asset Orchestrator (PAO) continuously ingests real‑time dispatch signals from ISOs, ancillary service programs, and demand‑response networks, then makes orchestration decisions in under 19 ms. Using the software‑based GPU‑FLX™ engine, PAO throttles GPU clusters in real time without new hardware, driver changes, or code modifications, allowing AI compute to act as a flexible, grid‑responsive load while preserving workload SLAs. The system logs each action and reports power status back to the grid, enabling automated, high‑speed demand response and ancillary service participation.

Target Audience

Primary customers are grid operators and data center managers who need to integrate large GPU compute workloads into demand‑response and ancillary service programs while ensuring performance guarantees.

Features

  • Real‑time ingestion of dispatch signals from major ISOs, ancillary service programs, and demand‑response networks
  • Decision engine that determines optimal power modulation in under 19 ms
  • GPU‑FLX™ software layer that throttles power consumption of NVIDIA, AMD, and Intel GPU clusters via standard vendor libraries
  • No requirement for additional hardware, driver updates, or application rewrites
  • Continuous execution with automatic resumption of workloads, maintaining SLA commitments
  • Comprehensive logging and bidirectional reporting of power status to grid operators
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