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Benchmarking small LLM inference on SageMaker AI: G7 vs G5 and G6

Benchmark two 30B Mixture-of-Experts models, Qwen3-Coder-30B and NVIDIA Nemotron-3-Nano-30B, across G5, G6, G6e, and G7 GPU instances on Amazon SageMaker AI. Compare throughput, latency, and cost-per-token, and see how G7's NVIDIA Blackwell GPUs deliver measurable price-performance gains for real-time LLM inference.

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PossiblePossibly related (embedding) · 61%gittensor-ai-lab/sparkinfer →
PossiblePossibly related (embedding) · 59%DaoyuanLi2816/llm-gpu-lab →
PossiblePossibly related (embedding) · 58%WattGPU: Predicting Inference Power and Latency on Unseen GPUs and LLMs →
PossiblePossibly related (embedding) · 57%zwmaronek/Beyond-Early-Exit →
PossiblePossibly related (embedding) · 56%NVIDIA/cuml →

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repogittensor-ai-lab/sparkinfer repoDaoyuanLi2816/llm-gpu-lab paperWattGPU: Predicting Inference Power and Latency on Unseen GPUs and LLMs repozwmaronek/Beyond-Early-Exit repoNVIDIA/cuml

Related across the graph

repogittensor-ai-lab/sparkinfer paperWattGPU: Predicting Inference Power and Latency on Unseen GPUs and LLMs repoDaoyuanLi2816/llm-gpu-lab repozwmaronek/Beyond-Early-Exit repoNVIDIA/cuml