Discover up to 21% more
GPU throughput
in 60 seconds
Your training GPUs are working. But they're not working smart. Radix shows you exactly how much performance you're leaving on the table—then helps you capture it.
No stack changes. No production risk. Just proof.
The Invisible Bottleneck
Your GPUs show "busy." Your dashboards show activity. But under the hood, memory is maxed while compute idles. Power caps throttle performance while RAM sits unused. You're paying full price for partial performance.
Wasted Capacity
Paying for GPUs you're not fully using
Wasted Power
Excess power bills for fractional performance
Slower Cycles
Delayed model deployment
The Radix Solution
Radix Real-Time Multi-Dimensional Optimization monitors memory, compute, AND power continuously, rebalancing in real-time as jobs execute.
Proven result: 21.4% throughput improvement (p < 0.001)
- ✓Radix deploys into Kubernetes and works with Slurm and Ray
- ✓Zero code changes. Zero production risk.
- ✓Your data scientists submit jobs exactly as they do today
- ✓Run Radix in shadow mode first to see your potential throughput improvement without changing execution
Trust and Security Built In
Radix is built for Enterprise AI Infrastructure. You can choose an air-gapped deployment with zero egress, or an API-enabled deployment for enhanced cluster visibility. Both options have cryptographically signed artifacts.
All Radix performance results are validated and reproducible with p < 0.001 rigor to ensure you have accurate performance data.
Get Radix Core