#performance

Speculative decoding shines when outputs are predictable. Code completion, structured generation, and templates see 2x+ gains. Creative writing doesn't.

Four GPUs don't give you 4x throughput. Communication overhead, load imbalance, and synchronization eat into gains. Know the scaling curve before you buy.

Every CUDA kernel launch has overhead. Fusing three operations into one can be 3x faster. Here's where fusion helps and how to get it.

Batch size 1 wastes GPU. Batch size 64 kills latency. Somewhere in between is your sweet spot. Here's how to find it.

FlashAttention claims 2-4x speedup. CUDA graphs claim 10x. What actually helps in production, and what's just good marketing?

That benchmark showing 10,000 tokens/second? It probably used batch size 64 and measured mean latency. Here's how to benchmark for reality.

Median latency is 200ms. One in a hundred requests takes 8 seconds. Your dashboard shows green. Your users are churning.