AWS SageMaker Inference adds NVIDIA MIG partitioning
11/07/2026 — 11/07, 02:18·1 sources (all)·1 reports (all)
Key takeaways
- AWS announced that SageMaker Inference now supports NVIDIA Multi-Instance GPU (MIG), letting a single GPU be split into hardware-isolated pa…
Background & analysis
On 2026-11-07, the AWS Machine Learning Blog announced that Amazon SageMaker Inference now supports GPU partitioning with NVIDIA Multi-Instance GPU (MIG). MIG divides one GPU into hardware-isolated partitions, so each partition can run a different model, or take a right-sized fraction of a newer accelerator rather than an entire device.
The post explains that the capability is configured through two optional API fields, with one model placed per partition. AWS also shared measurements comparing the partitioned configuration against a whole older GPU. No additional developments have been reported beyond the blog post.
AI-generated from 1 reports · updated 3 hours ago
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AWS says SageMaker Inference now supports NVIDIA Multi-Instance GPU, which partitions a single GPU into hardware-isolated slices so customers can run a different model in each partition or right-size a newer accelerator. The feature uses two optional API fields, and AWS measured it against a whole older GPU.
AWS Machine Learning BlogFirst-partyAI score 56
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