Latency, throughput, batching, caching, and deployment architecture.
Inference and Serving covers the systems details that decide production latency and cost, including KV cache memory, FP8 paths, batching, and decode speed.
How FP8 KV cache affects real LLM serving latency: storage-only paths, fused dequantization, FP8 attention, decode break-even points, and calibration risk.
Read articleHow FP8 and INT4 KV cache quantization trade memory headroom for scale calibration, key/value asymmetry, residual windows, and long-context quality checks.
Read articleA systems-level analysis of KV cache compression, paging behavior, and quality drift under FP8/INT4 serving regimes.
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