In the news
Simplifying Model Serving Across Multiple GPUs with NVIDIA TensorRT Multi-Device Integration in NVIDIA Dynamo-Triton
NVIDIA Developer · Published · 3 min read
In 30 seconds
- What happened
- NVIDIA TensorRT 11.0 now supports multi-device inference, allowing one model to run across multiple GPUs while Dynamo-Triton 26.07 exposes this as a single service endpoint.
- Why it matters
- Engineers deploying generative AI models need faster response times and can allocate multiple GPUs per request instead of maximizing throughput on single GPU.
- Watch out
- Multi-GPU acceleration trades resource efficiency for latency; concurrent throughput, cost per request, and total cost of ownership require separate evaluation against your SLOs.
- inference
- serving
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Each one covers how the technique works, when it earns its cost, and where it breaks.
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