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GeezerVison is showing inferra.lightbitslabs.com — Inferra: Intelligent KV Cache Engine for AI Inference | Lightbits
Smart KV cache orchestration engine
Predictive Prefetch. Superior Tokenomics.Inference economics start with better tokenomics not bigger budgets. Inferra replaces reactive page-faults with predictive prefetch, solving GPU stalls waiting on memory. 
vLLM
SGLang
TensorRT
>100X
TTFT acceleration
16X
Multi-tenant density
10M+
Token Context
The problem
Every GPU hits the same memory wallStatic model weights already eat 35-70% of HBM. KV cache grows linearly with every token and outgrows remaining capacity. GPU HBMweights + limited hot KV working set
Static weights
Hot KV working set
Inferra breaks the memory wall.1M to 10M+ tokens of context
Static weights
KV cache beyond HBM limits
DRAM/NVMe tier with InferraHBM performance at NVMe cost · 50× native KV capacity
Static weights, unchanged
KV cache, tiered across HBM and NVMe
Ceiling no longer binding
The fix
Predictive fetch instead of reactive fetchConventional systems fetch missing cache after the GPU to stall. Inferra prefetches in sub-linear time eliminating GPU stalls.
Without Inferra
Reactive fetch
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GPU stalls at every page-fault
With Inferra
Proactive prefetch
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Sub-linear prefetch – no stalls 
Business impact
Idle GPUs are a margin problem, not just a
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