AWS Machine Learning Blog described a benchmark for inferring two 30B MoE models—Qwen3-Coder-30B and NVIDIA Nemotron-3-Nano-30B ——on G5, G6, G6e, and G7 GPU instances in Amazon SageMaker AI.
The comparison covers throughput, latency, and cost per token. According to AWS, the testing demonstrates measurable advantages for G7 with NVIDIA Blackwell GPUs regarding the price-to-performance ratio for real-time LLM inference.
These findings are based on a single publication from the AWS Machine Learning Blog and are presented in the package only as metadata and a brief summary, not as the full research text. Independent verification is absent.
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Why it matters
The likely practical implication is increased interest in selecting GPU instances for real-time inference tasks. The next verifiable signals will be published numerical results or independent tests. Significant uncertainty remains due to the absence of a complete methodology, measurement tables, and third-party corroboration in the package.