Model Distillation: Why a 7B Model Beats a Frontier Model
The fastest way to slash latency is right-sizing models for production classification.
Tag: Latency
Semantic Caching at Scale: Vector Embeddings for 5x Latency Reduction
Moving beyond exact-match caching for repetitive zero-shot inference workloads. Learn how to architect semantic caching to slash latency and compute costs.
Chunked Prefill: Solving the Noisy Neighbor Problem in Inference
When a massive prompt stalls your entire inference server, you have a noisy neighbor problem. The solution requires rethinking how we process context with Chunked Prefill.
TTFT vs ITL: The Two Metrics Defining Inference Performance
Average latency is a lie that hides tail-end failures. To truly optimize AI inference in 2026, you must separate your Time To First Token from your Inter-Token Latency.
Vision Transformer (ViT) Latency
Why Patch Size fundamentally dictates your cloud throughput entirely independently of actual parameter count when deploying Vision Transformers in production.
Using 'from silero_vad import load_silero_vad' in Python
`from silero_vad import load_silero_vad` is the standard way to implement voice activity detection locally. Learn to build a real-time audio VAD pipeline in Python without cloud latency.