Composable middleware for LLM inference Optimization Passes
Tower-style middleware stacking for inference guardrails beats bolted-on if-statements.
Title-only post with no repo, demo, or implementation details to evaluate.
ML infrastructure engineers building inference pipelines
Tower-style middleware stacking for inference guardrails beats bolted-on if-statements.
Standalone KV cache compression script implementing TurboQuant with 1.55x ratio.
SSD-cached KV blocks dodge re-prefill tax on context shifts—Claude Code now viable locally.
O(1) fork latency makes tree search 1000x faster than vLLM for agentic workloads.
Multi-tier cache for AI agents with built-in OpenTelemetry and Prometheus metrics.
21x KV-cache restore speedup sounds huge, but the Medium link returns a 500 error.