Tag: inference optimization
Model Compression Economics: Cutting LLM Costs with Quantization and Distillation
Tamara Weed, Jun, 11 2026
Learn how quantization and knowledge distillation cut LLM inference costs by up to 90%. Explore the economics of model compression, compare techniques, and discover best practices for cheap, scalable AI deployment.
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Memory and Compute Footprints of Transformer Layers in Production LLMs
Tamara Weed, Feb, 24 2026
Understanding memory and compute footprints in transformer layers is critical for deploying LLMs efficiently. KV cache, quantization, and attention optimizations determine cost, speed, and reliability in production.
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