Core GX
A proprietary software layer that activates underused GPU capacity to accelerate AI inference and compute workloads — delivering dramatically more throughput without replacing existing hardware.
More AI throughput from the
hardware you already own
Core GX doesn't require new chips, new servers, or new infrastructure. It's a software layer that finds and activates GPU capacity already sitting idle — delivering dramatically more AI throughput at a fraction of the hardware cost.
Identifies idle and underutilized GPU capacity
Most GPU workloads leave a significant portion of available cores unused. Core GX scans the hardware fleet to identify this headroom before any changes are made — calculating exactly how much recoverable capacity exists across every GPU in the system.
Rebalances workload distribution in real time
Traditional schedulers assign AI workloads in ways that create bottlenecks and uneven load across the chip. Core GX continuously rebalances how inference workloads are distributed across available cores — eliminating the inefficiencies that cap throughput on even the most powerful GPUs.
Delivers ~2× more AI throughput at ~50% lower GPU cost
On the same dense Gemma 4 workload, the RTX Pro 6000 Blackwell with Core GX delivered 71–89 tokens/sec versus the NVIDIA H100 NVL's 27–52 tokens/sec at standard configuration — at roughly half the hardware cost. No hardware changes. No configuration overhead. Software only.
Standard GPU operation
Same GPU — dramatically more output
Core GX is pure software — no hardware changes, no new chips, no infrastructure investment. The throughput gain comes from using what's already deployed more effectively.
More AI output.
Lower hardware cost.
Tested on the same dense Gemma 4 workload, Core GX delivered ~2× higher AI throughput at roughly half the GPU hardware cost — with further validation underway on identical hardware.
| Platform | Baseline | With Core GX | Result |
|---|---|---|---|
| Core GX | NVIDIA H100 NVL · standard config · ~$30K | RTX Pro 6000 Blackwell + Core GX · ~$15K |
Baseline 27–52 tok/s
Core GX 71–89 tok/s
~2× throughput · ~50% lower cost
|
Built for the organizations
running AI at scale
Core GX is designed for licensing — sitting inside existing GPU and compute infrastructure, adding throughput at the layer where AI performance is generated.
Organizations running GPU workloads at scale
- AI companies and LLM developers
- Cloud providers
- GPU manufacturers
- Hyperscalers
- Data centers and AI infrastructure companies
Flexible structures for every partnership
- Technology licensing
- OEM integration
- Enterprise licensing
- Per-device or usage-based royalties
- Strategic transaction (standalone option)
on existing hardware
GPU cost
investment required
Interested in deploying
Core GX in your infrastructure?
We're working with AI companies, cloud providers, GPU manufacturers, and hyperscalers. If Core GX fits your stack — let's talk.
Get in Touch →