More detail on the Bentaus side of the @Synota_ partnership: @ZianiSystems was built to read power in real time. Modulating GPU load against grid dispatch signals only works if the orchestration layer knows actual draw as it happens, which is why the control loop includes a telemetry and validation stage that confirms execution before anything gets reported back to the grid. That same telemetry is what the settlement framework will draw on. Ziani supplies the measurement of what the infrastructure actually consumed. Synota supplies the billing and settlement technology that connects that measurement to customer commercial terms. The framework is being designed to cover GPU, CPU, token, energy and AI storage usage, with daily and monthly settlement first. First deployment is targeted for Q4 2026 on Bentaus infrastructure.

Ziani will play an integral role in @Bentaus’ collaboration with @Synota_. Our DCIM telemetry and Power Asset Orchestrator will provide transparency into GPU, token and energy usage to support settlement, while enabling AI factories to operate as flexible loads. Another step in building rich software for AI infrastructure and NeoClouds.

🖖 100% this

How do you get a GPU running AI inference to respond to the grid? One integrated loop: ERCOT conditions → Luxor's QSE signal → @ZianiSystems orchestration → GPU curtails to ~25%. Under half a second, no lost work. The full picture 👇

How do you get a GPU running AI inference to respond to the grid? Check out how we worked with @luxor using our @ZianiSystems

First response of an AI inference GPU to a live @ERCOT_ISO 4CP signal. @luxor Energy's QSE generated the curtailment signal. @ZianiSystems by @BentausOfficial took the GPU from full draw to roughly 25% in under 500 milliseconds, closed loop and verified, with inference workloads checkpointed, paused, and resumed. Nothing dropped. Four fifteen minute peaks set a large share of a Texas data center's annual transmission bill. Now AI load can respond to them. ERS enrollment next. prnewswire.com/news-releases…

Luxor Energy, the energy division of @luxor and @BentausOfficial report that their Ziani platform cut a live GPU's power draw to 25% of normal in under 500 milliseconds, while inference workloads kept running. It's the first demonstrated AI GPU response to an ERCOT 4CP signal. Why it matters: ERCOT's Four Coincident Peak program rewards large loads that pull back during the grid's highest demand intervals each summer (June through September). Until now, AI data centers have largely sat outside that conversation as fixed, inflexible load. This result suggests that doesn't have to be the case. GPU fleets could become active participants in market programs, not just consumers of power, with real potential to lower transmission costs. Congrats to the Luxor Energy and Bentaus teams on a genuinely useful proof point for grid-aware AI infrastructure. luxor.tech/news/corporate-ne…

How is Ziani licensed? Ziani offers the software as a plug-in for SuperCloud Composer via the PowerAsset™ Orchestration License (SFT-PAO-SINGLE). Ziani also provides an IoT controller license for the Bentaus Edge™ (SFT-BENT-IOT) and a free 30-day trial for up to 200 nodes (SFT-PAO-TRIAL).

How does Ziani help with SLA (Service Level Agreement) compliance? Ziani's frequency-adjusted GPU orchestration ensures that even when power limits are reduced to meet grid signals, the GPUs remain powered, available, and actively processing workloads. Workloads can seamlessly shift across clusters, ensuring SLA uptime commitments are honored even during grid curtailment.

How is Ziani's software verified for security and stability? Ziani Systems is undergoing formal verification of its energy orchestration code through a partnership with Logical Intelligence. This rigorous mathematical auditing process, typically reserved for mission-critical systems like aerospace and blockchain, ensures the code is deterministically proven to execute without hallucination or failure.

What environments can Ziani's Power Asset Orchestrator (PAO) be deployed in? Built for enterprise scalability and low latency, PAO supports on-premises, hybrid, and cloud environments.

Can the PAO AI Agent act autonomously? Yes, the AI Agent uses AI-driven business rules to dynamically and autonomously adjust compute loads, shift training jobs, or ramp resources to capture energy savings at the edge, rack, or data center level without requiring human intervention.

What does the built-in PAO AI Agent do? The Power Asset Orchestrator (PAO) AI Agent is an interactive, conversational interface that executes task-oriented operations across both compute and energy infrastructure. Users can prompt the agent to fetch metrics (like PUE or GPU load efficiency) or issue direct commands like "optimize BESS charge cycles" or "reduce cooling by 5%."

Does Ziani require new hardware to modulate GPU power? No. Ziani's GPU-FLX™ utilizes existing DCIM (Data Center Infrastructure Management) standards. It requires no hardware modifications to unlock fast, predictable load flexibility through software orchestration.

How does Ziani improve a data center's PUE (Power Usage Effectiveness)? Power Asset Orchestrator (PAO) provides continuous, real-time PUE insights that trigger intelligent orchestration. If PUE spikes, the software automatically adjusts cooling systems, initiates load shedding, or shifts AI workloads to optimize facility efficiency and lower operating costs.

Does Ziani's software account for real-time energy pricing? Yes, Power Asset Orchestrator (PAO) integrates Real-Time Locational Marginal Pricing (LMP). It continuously evaluates the cost-per-kWh of energy and intelligently schedules AI compute tasks during low-cost windows while identifying and avoiding price spikes.

How does Ziani software turn AI data centers into grid assets? By using real-time GPU modulation, Ziani allows AI data centers to act as interruptible, flexible loads rather than static power drains. This enables data centers to participate in Virtual Power Plant (VPP) and demand response programs, balancing the grid and adding resiliency against blackouts or grid instability.

What is the Bentaus Edge™ board? The Bentaus Edge™ v1.0 Board is an IoT sensor platform that feeds intelligent environmental data into Ziani's orchestrator. It supports multi-sensor inputs including temperature, pressure, humidity, airflow (CFM), differential pressure (for filter maintenance), and a camera/vision port for security and diagnostics.

How fast is Ziani's real-time power modulation response? In laboratory tests using Supermicro systems with NVIDIA B200 GPUs, Ziani's end-to-end control loop execution averaged 19 milliseconds. This sub-20ms latency easily complies with the sub-two-second response requirements of ISO demand response programs.