AWS is making it easier to run several smaller models on the same GPU.
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AWS is making it easier to run several smaller models on the same GPU. SageMaker Inference now supports NVIDIA’s GPU partitioning, giving each model a dedicated slice of compute and memory on supported hardware. Think of a document search app: one model creates embeddings, another ranks the matches, and another writes the answer. Each can have its own GPU partition instead of reserving an entire accelerator. AWS also tested an H100 partition against a full A100 running Llama 3.1 8B. At sufficient concurrency, the partition delivered roughly 18–34% lower cost per million output tokens. At li
Posted by Hybrid 🏃🏾 (7.8k followers) 2 h ago · 9 likes · 339 views · view the original post on X. Kept by the AI Radar as AI infra & evals.
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