[Verse 1] Your model's running but the bills are high GPU costs are reaching for the sky Time to optimize, make your budget wise Estimate the spend before you're surprised Compute selection, spot or reserved Get the power that your project deserved TPU or GPU, choose your gear Cost per token should be crystal clear [Chorus] Scale it smart, optimize the cost Quality and speed don't have to be lost Quantize, cache, and compress with care Build or buy, choose what's right to share Scale it smart, keep your margins tight Efficient inference day and night [Verse 2] Model compression cuts your memory load INT8, INT4 on the quantization road GPTQ and AWQ, techniques to try Pruning dead weights, distillation flies Smaller models, faster inference speed Quality tradeoffs, find what you need Benchmark levels, measure the cost Check if accuracy gets lost [Chorus] Scale it smart, optimize the cost Quality and speed don't have to be lost Quantize, cache, and compress with care Build or buy, choose what's right to share Scale it smart, keep your margins tight Efficient inference day and night [Verse 3] Semantic caching saves repeated calls Prompt caching breaks down costly walls KV cache optimization, memory wise Horizontal scaling as demand flies Queue-based systems, load balancing flow Autoscaling up when traffic starts to grow Architecture choices, self-host or API Open source or commercial, reach for the sky [Bridge] Build versus buy decision time Weigh the costs against the climb Infrastructure you control Or services that help you roll Measure latency and throughput Find the path that bears the fruit [Chorus] Scale it smart, optimize the cost Quality and speed don't have to be lost Quantize, cache, and compress with care Build or buy, choose what's right to share Scale it smart, keep your margins tight Efficient inference day and night [Outro] Lab time now, benchmark and test Quantization levels, find what's best Quality, latency, cost in the mix Optimization is the trick to fix
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