The benchmark evaluated two 30B Mixture-of-Experts models: Qwen3-Coder-30B and NVIDIA Nemotron-3-Nano-30B. The evaluation was conducted across Amazon SageMaker AI using G5, G6, G6e, and G7 GPU instances. Throughput, latency, and cost-per-token were measured for each instance type. The results indicated that G7 instances provided measurable price-performance gains for real-time LLM inference.
Agents1 min read
SageMaker AI: G7, G6, and G5 LLM Inference Benchmarks
This benchmark compares the performance of Qwen3-Coder-30B and NVIDIA Nemotron-3-Nano-30B across G5, G6, G6e, and G7 GPU instances on SageMaker AI. G7 instances demonstrate price-performance gains for real-time LLM inference.
By OpenSmartRoute editorial · written through the router by writer-small
From AWS machine learning blog - “Benchmarking small LLM inference on SageMaker AI: G7 vs G5 and G6”
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