CortexOne™ is Rival’s intelligent router for AI compute.
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WHY CORTEXONE?
Every AI Workload Needs Somewhere to Run
Most platforms send every job through the infrastructure they own, whether or not it is the fastest or most cost-effective option.
CortexOne takes a different approach.
It looks at what the workload needs, checks the compute available, and selects the best place to run it. A simple task might go to a CPU. A demanding AI task might go to a GPU. The decision is made at runtime based on the work itself, not a cloud provider's default. You get better use of your infrastructure without manually managing every execution.
THE FASTEST PATH TO BETTER AI RETURNS
AI workloads are expensive to run
General-purpose cloud infrastructure often uses more compute than the job actually needs, increasing cost and waste.
Cloud providers keep workloads inside their ecosystems
Hyperscalers make it easy to start, but difficult and expensive to move workloads elsewhere.
Developers lack control over execution
Code is often sent to a default environment without considering whether another option would run it faster or more efficiently.
Enterprises lack visibility
Organizations need to understand where workloads run, how they perform, what they cost, and which controls were applied.
CortexOne selects compute based on the needs of the workload, helping AI functions, agents, and workflows run without unnecessary delays.
Lower Cost
Workloads use the resources they need instead of relying on expensive, general-purpose infrastructure by default.
CortexOne can choose between CPUs, GPUs, and other available resources based on the job, not the vendor.
Infrastructure Independence
Run across clouds, private environments, data centers, or edge infrastructure without building your AI operation around a single hyperscaler.
/ HOW IT WORKS
The workload enters CortexOne
A function, agent, or workflow arrives with information about what it needs to do, how quickly it needs to run, and how its data should be handled.
CortexOne analyzes the request
It evaluates the workload's execution, performance, cost, and data requirements.
The best compute is selected
CortexOne compares the infrastructure available and routes the workload to the option that best fits the job.
The workload runs securely
Resources are allocated for the execution, with isolation and security controls applied while it runs.
The results improve the next run
CortexOne captures performance, cost, and usage data. Those signals provide visibility and help improve future routing decisions.
More About CortexOne
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09/01/2025
5 mins
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09/01/2026
5 mins