Production LLM pipeline on AWS Trainium and Inferentia: LoRA fine-tune Llama 3.1 8B on a trn1.2xlarge, ship the adapter through S3, serve it with vLLM on an inf2.xlarge, and measure everything (TTFT/TPOT percentiles, tokens/s, MFU, goodput at SLO) with compile costs included and failures recorded as receipts.
aws benchmark pytorch llama lora mlops nki inferentia vllm llm-inference aws-neuron trainium torch-neuronx neuronx-distributed
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Updated
Aug 6, 2026 - Python