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Accelerate Generative AI Inference on Amazon SageMaker AI with G7e Instances

NVIDIA RTX PRO 6000 Blackwell just landed on SageMaker. Single-node inference for 120B models just got cheaper.

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The infrastructure powering AI.AI illustration by KeyNews
The KeyNews take

Why it matters

AWS is lowering the barrier to deploy large foundation models by offering cost-effective GPU infrastructure via SageMaker G7e instances. This matters because it directly reduces capex friction for enterprises running inference at scale.

The key facts

5 to know
  1. G7e instances powered by NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs now available on Amazon SageMaker AI

  2. Each GPU provides 96 GB of GDDR7 memory

  3. Configurable node counts: 1, 2, 4, and 8 GPU instances

  4. G7e.2xlarge (single-node) supports models like GPT-OSS-120B, Nemotron-3-Super-120B, Qwen3.5-35B

  5. Positions as cost-effective alternative for foundation model inference

Go to the source

AWS Machine Learning Blogaws.amazon.com

Publisher excerpt: Today, we are thrilled to announce the availability of G7e instances powered by NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs on Amazon SageMaker AI. You can provision nodes with 1, 2, 4, and 8 RTX PRO 6000 GPU instances, with each GPU providing 96 GB of GDDR7 memory. This launch provides the…
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