Technical Insights & Architecture Papers
Deep-dives on high-throughput backend architecture, Python & Django performance, real-time Voice AI, and resilient database modeling.
Speculative Decoding in Real-Time Voice Agents: Accelerating LLM Inference with Draft-Verification Pipelines
Sequential autoregressive token generation creates an unavoidable latency bottleneck for large LLMs. Discover how speculative decoding uses lightweight draft models to achieve 2x to 3x token generation speeds in vLLM without quality degradation.
KV Cache Eviction & Prompt Prefix Caching in vLLM: Reducing TTFT by 80% Across Multi-Turn Voice AI Dialogues
Multi-turn telephony voice agents suffer massive TTFT latency stalls as context grows. Learn how to configure RadixAttention and prefix caching in vLLM to achieve sub-100ms first-token generation in production.
Self-Hosting vLLM on a Single Cloud GPU: Sub-Second Token Streaming & Continuous Batching
Proprietary LLM APIs present severe data privacy risks, rate limits, and unpredictable costs under sustained traffic. Learn how to self-host open-weights models using vLLM, PagedAttention, and continuous batching on a single cloud GPU with sub-second streaming latency.