16 inference optimizations to study for sub-second LLM responses
blaizedsouza · x · 2026-08-20
A curated list of 16 inference optimizations worth studying for sub-second LLM responses: KV-Caching, Speculative Decoding, FlashAttention, PagedAttention, batch inference, early exit and parallel decoding, mixed precision, quantized kernels, tensor/pipeline/sequence parallelism, graph optimization (ONNX, TensorRT), dynamic batching, memory offloading, and streaming generation. Only a checklist without details — useful as a study roadmap.
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