NVIDIA has added advanced integrations to its Dynamo platform to streamline AI inference operations across major cloud providers and enhance Kubernetes management capabilities, letting enterprises deliver multi-node, high-performance AI inference at scale with increased efficiency.
The Dynamo platform is now available through managed Kubernetes services on Amazon Web Services, Google Cloud and Oracle Cloud Infrastructure. It supports rapid deployment of large language models (LLMs) and advanced reasoning systems within enterprise environments.
Enterprises benefit from features such as disaggregated serving, which increases throughput and lowers costs by intelligently assigning AI tasks like prefill and decode to optimised GPUs rather than duplicating workloads across all nodes.
Recent SemiAnalysis benchmarks highlight Dynamo’s capabilities, with record-setting throughput achieved using NVIDIA’s Blackwell Ultra GPUs and improved performance for demanding AI workloads.
The platform also introduces the NVIDIA Grove API that simplifies the coordination of multi-node inference to allow users to define and scale complex inference systems through high-level specifications. The automation optimises resource allocation and communication across clusters.
As the demand for cluster-scale AI rises, the combination of Kubernetes and NVIDIA Dynamo enables providers and developers to build robust, distributed, and production-ready inference solutions, transforming the deployment of intelligent applications in the cloud.
Entelechy Asia 