Ziani Systems

The Energy Intelligence Platform for AI Datacenters.

[Ziani Systems @ZianiSystems]

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[Luxor Technology 🟧⛏️ @luxor]

Luxor Energy and @BentausOfficial recently completed the first ever AI GPU response to ERCOT 4CP signals:

[Luxor Technology 🟧⛏️ @luxor]

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 👇

[Bentaus @BentausOfficial]

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

[Bentaus @BentausOfficial]

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.

https://t.co/l67tLbBXWr

[Ziani Systems @ZianiSystems]

@digitalinfranet @luxor @BentausOfficial We are @ZianiSystems. :)

[Digital Infrastructure Network @digitalinfranet]

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.
https://t.co/3dwPdUrg8d

[Ziani Systems @ZianiSystems]

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).

[Ziani Systems @ZianiSystems]

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.

[Ziani Systems @ZianiSystems]

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.

[Ziani Systems @ZianiSystems]

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.

[Ziani Systems @ZianiSystems]

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.

[Ziani Systems @ZianiSystems]

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%."

[Ziani Systems @ZianiSystems]

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.

[Ziani Systems @ZianiSystems]

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.

[Ziani Systems @ZianiSystems]

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.

[Ziani Systems @ZianiSystems]

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.

[Ziani Systems @ZianiSystems]

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.

[Ziani Systems @ZianiSystems]

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.

[Ziani Systems @ZianiSystems]

How does GPU power modulation work in Ziani's system?

Ziani's orchestration layer ingests grid dispatch signals (such as curtailment or demand response requests) and translates them into real-time GPU power limit adjustments. This creates a deterministic control loop that scales GPU power down (up to 75% in tests) without resetting the system or interrupting the workload, maintaining SLA availability.