A principal cloud architect's guide to deploying speculative decoding in production: EAGLE-3, P-EAGLE, Medusa, draft model selection, framework configuration for vLLM and SGLang, and the batch-size cliff that kills your speedups.
A practical guide to the infrastructure changes required when moving from dense LLMs to sparse MoE architectures: expert parallelism, memory planning, network bandwidth, and vLLM optimizations for DeepSeek, Llama 4, and Qwen 3 MoE in production.
A principal cloud architect's guide to choosing between vLLM, SGLang, TensorRT-LLM, and other LLM inference engines. Includes benchmarks, trade-offs, and a practical decision framework for production AI workloads.
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