One Model, Many Budgets — Elastic Latent Interfaces and the inference-efficiency surge

Elastic Latent Interfaces remain the leading approach for variable-compute inference. The efficiency cluster now includes Random Attention KV eviction, reporting 32–43% vLLM throughput gains, LatentPress’s 4–16x context compression, one-example on-policy distillation, WaDi, IndexCache, TERMINATOR, Attention Residuals, FineRMoE, NanoVDR, and Sleep-Time Compute. These methods are converging toward bounded-memory, multi-latency multimodal stacks, but cross-model replication is still needed.