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 fix
Predictive fetch instead of reactive fetch
Conventional systems fetch missing cache after the GPU to stall. Inferra prefetches in sub-linear time eliminating GPU stalls.
Without Inferra
Reactive fetch
0
1
2
3
4
5
6
?
GPU stalls at every page-fault
With Inferra
Proactive prefetch
0
1
2
3
4
5
6
7
8
9
10
11
Sub-linear prefetch – no stalls
Business impact
Idle GPUs are a margin problem, not just a
Idle GPUs are a margin problem, not just a
performance one
Modeled on an H200 SXM 8x cluster hosting Llama-4-405B workloads. Figures are illustrative.
GPU utilization
Before
With Inferra
0%
100%
Revenue per node / day
Before
With Inferra
$0
$500