#GPU Optimization

High-Throughput LLM Serving: Continuous Batching & PagedAttention Internals in vLLM

An enterprise LLM infrastructure engineering guide to high-throughput model serving. We dissect continuous iteration-level batching, PagedAttention virtual memory management, prefill-decode disaggregation, and maximizing tokens/sec/dollar.

FlashAttention-3 on NVIDIA Hopper/Blackwell: FP8 Asynchronous Tensor-Core Warps

A deep CUDA GPU kernel engineering guide to FlashAttention-3. We dissect warp-specialized asynchronous Tensor Core operations, block-sparse softmax quantization, overlapping GMEM-SMEM transfers via TMA, and achieving 850 TFLOPs/sec.

Fine-Tuning with Unsloth & QLoRA: Training 70B LLMs on Consumer GPUs (2026)