Products
One platform. Four layers.
What we do
GPUs fail silently. 15–20% of your fleet sits idle as buffer. You find out when the ticket comes in, not before.
01
Observe
Read-only telemetry from your BMS, EPMS, SCADA, NOC and DCIM — feeding one continuous picture.
02
Understand
A live model of every GPU. Thermal signatures, power patterns, trajectories. Oru'el knows what healthy looks like.
03
Act
Which GPU is failing, why, and what to do — delivered 2–5 days before it costs you.
04
Earn
Fleet intelligence becomes a revenue line. Sell the work your compute enables, not just the compute.
Products
Who This Is For
FAQ
Oru'el is an operating system for GPU facilities that unifies telemetry across power, cooling, controls, GPUs, and tenants, then turns that data into operational verdicts and governed actions.
It is built for GPU data centers, neoclouds, and HPC facilities running dense, high-value infrastructure where failures, degradation, and inefficiency directly hit revenue and SLAs.
Most GPU facilities run on fragmented systems, scattered telemetry, and tribal knowledge, which makes it hard to detect failures early, understand effective capacity, and respond fast enough when performance degrades.
Traditional tools show dashboards; Oru'el connects signals across the full facility stack and produces clear verdicts about what is happening, why it is happening, and what should happen next.
No. Oru'el connects to your existing systems and works alongside your current stack rather than forcing a rip-and-replace approach.
No. Oru'el does not replace operators; it makes the systems they already run legible and helps every team work from the same operational truth.
Oru'el ingests telemetry across power, cooling, compute, and network layers, along with GPU health and facility-system data, so the full site can be understood as one system.
Yes. In production testing, Oru'el predicted GPU failures about a week before the event and outperformed ByteDance's architecture by 19% in the same environment.
It starts small on real workloads: Oru'el connects to one facility, ingests telemetry, and begins generating verdicts alongside your existing stack so outcomes can be measured in a live environment.
Early outcomes include avoided incidents, recovered capacity, surfaced grey failures, and earlier visibility into tenant and SLA risk.
You receive unified monitoring across the stack, visibility into lost performance and true capacity, insight into aging infrastructure, early risk detection, and fewer decisions based on tribal knowledge.
Once value is proven at one facility, Oru'el can be rolled out across sites so each facility has its own intelligence while the fleet operates from a shared truth.
No. The initial model is to integrate with your current environment, prove value on live infrastructure, and expand only when the numbers justify it.
No. The goal is not to give teams more dashboards to watch, but to give them a small set of clear operational truths they can act on.
Calculator
Two numbers. What we unlock. What we create.
Your Fleet
Your Tenants
Revenue unlocked
...
what was bleeding, stopped
Revenue created
...
new money from agent workloads
Does not include: SLA penalty avoidance.
Close
This is the intelligence layer between your hardware and your tenants' outcomes.
The operators who deploy it first will set the standard everyone else chases.