Dynamo-Triton
An NVIDIA framework for production-grade inference serving, built on Triton Inference Server and combined with a Dynamo scheduling and orchestration layer. It supports dynamic batching, concurrent model instances, and request routing with resource scheduling in multi-node distributed inference scenarios.
Timeline (last 90 days)
NVIDIA released a technical solution for deploying generative recommendation models based on the HSTU architecture using the Dynamo-Triton inference framework.
After integrating TensorRT multi-device inference into Dynamo-Triton, developers gain a complete standardized path from raw model weights to externally exposed HTTP/gRPC inference interfaces, with parallel sharding, device coordination, and service orchestration all managed by the framework.
All Facts (2)
After integrating TensorRT multi-device inference into Dynamo-Triton, developers gain a complete standardized path from raw model weights to externally exposed HTTP/gRPC inference interfaces, with parallel sharding, device coordination, and service orchestration all managed by the framework.
50%UnverifiedNVIDIA released a technical solution for deploying generative recommendation models based on the HSTU architecture using the Dynamo-Triton inference framework.
50%