AI inference is putting unprecedented pressure on GPU infrastructure. As context windows grow and applications support more concurrent sessions, KV caches consume more GPU memory—creating a costly gap between the GPU capacity you paid for and the capacity you actually use.
It’s a Hardware Utilization Gap
When KV-cache data doesn’t fit in GPU memory, inference systems can be forced to recompute context or leave expensive GPU cycles idle. The result is higher latency, lower session density, and more infrastructure spend.
The good news? You may have significantly more inference capacity hiding in your existing infrastructure.
Find out how efficiently your hardware is really running
It makes sense to understand how efficiently you’re using the hardware you already have. That’s why Lightbits Labs created the Pod Efficiency Analyzer—a simple way to evaluate the efficiency and economics of your AI inference infrastructure. See how much capacity you could unlock from your existing GPU environment.
Try the Pod Efficiency Analyzer
From Memory Constraints to Intelligent KV-cache Management
Inferra™ by Lightbits takes a fundamentally different approach to the KV-cache problem.
Instead of treating the KV cache as temporary data that must remain entirely in GPU memory—or be repeatedly recomputed—Inferra transforms it into an intelligent, persistent data layer. It virtualizes GPU memory across multiple memory tiers and proactively prefetches attention states from storage as needed. The result is designed to eliminate the stalls that limit long-context and multi-session inference.
In POV testing, Inferra delivered >100x TTFT acceleration and up to 16x more concurrent sessions without requiring modifications to the existing hardware. This means the path to greater inference capacity may be getting more out of the GPUs you already own.
If you’re operating a Neocloud, these findings are crucial because they could significantly improve your margins and top-line revenue.
Run your numbers with the Lightbits Pod Efficiency Analyzer and discover your potential for greater infrastructure efficiency and higher session density.
