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”
Keep reading
Related posts
Agents1 min read
Pathway BDH Development on SageMaker HyperPod
Pathway’s Baby Dragon Hatchling (BDH) architecture is being developed and scaled on Amazon SageMaker HyperPod. BDH-CQ achieved a new cost-efficiency mark on the ARC-AGI-1 benchmark.
Agents1 min read
SageMaker Feature Store Adds UpdateRecord API
Amazon SageMaker Feature Store now supports updating individual feature values directly. The new UpdateRecord API allows for efficient, single-call updates to both Standard and In-Memory online stores, optimizing feature management.
Models1 min read
ChatGPT Images 2.5: Image Generation from References
ChatGPT Images 2.5 allows for the creation of images based on user-provided ideas, sketches, and reference photos. This update provides more personalized and refined image outputs for engineers deploying image generation models.