AWS Neuron docs — Trn1/Trn1n Inference Performance tables
benchmark
Fields
id
sources/aws-neuron-trn1-inference-benchmarksPublisher
AWS
Kind
benchmark
Accessed
2026-10-15
notes
Vendor reference inference numbers for Trn1/Trn1n (Trainium1). NeuronPerf-driven. Encoder models (BERT/RoBERTa/etc) reported as inference/sec; encoder-decoder (flan-t5-xl, t5-3b) reported as tokens/sec counting BOTH input and output tokens, NeuronX Distributed TP=8 on trn1.32xlarge. Last update 2026-02-26, SDK versions 2.17-2.28. Numbers are aggregate throughput across the data-parallel run mode, not per-request decode.
Notes
Vendor reference inference numbers for Trn1/Trn1n (Trainium1). NeuronPerf-driven. Encoder models (BERT/RoBERTa/etc) reported as inference/sec; encoder-decoder (flan-t5-xl, t5-3b) reported as tokens/sec counting BOTH input and output tokens, NeuronX Distributed TP=8 on trn1.32xlarge. Last update 2026-02-26, SDK versions 2.17-2.28. Numbers are aggregate throughput across the data-parallel run mode, not per-request decode.
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