NVIDIA Dynamo – new framework for AI inference

NVIDIA Dynamo: Next-generation AI infrastructure solution for more efficient and scalable inference

NVIDIA has recently launched Dynamo, an open source AI inference solution designed to manage and optimize large language models (LLMs) in distributed environments. This software represents a significant step forward for organizations looking to maximize the performance and cost efficiency of their GPU-based AI infrastructures.

What is NVIDIA Dynamo?

Dynamo is a modular and low-latency inference platform that enables efficient management of generative AI models across large GPU clusters. It is designed to scale seamlessly from single GPUs to thousands, making it ideal for companies running large-scale AI applications.

Technical benefits for IT and AI specialists

  • Disaggregated Serving: Separate preprocessing and generation of LLMs across different GPUs to optimize resource usage and increase throughput.

  • Smart Router: Intelligent traffic routing that minimizes redundant computations and balances load efficiently across GPU fleets.

  • Dynamic GPU scheduling: Automatically allocate GPU resources based on real-time demand, eliminating bottlenecks and improving performance.

  • Support for multiple inference engines: Compatible with TensorRT-LLM, vLLM, SGLang, PyTorch and others, providing flexibility in backend selection.

Business benefits for decision-makers

  • Cost efficiency: By increasing the number of inference requests per GPU, Dynamo reduces the overall operational costs of AI applications.

  • Scalability: Ability to quickly adapt to changing business needs through dynamic scaling of GPU resources.

  • Future-proof investment: Dynamo is an open and modular platform that easily integrates with existing AI stacks, protecting past investments and simplifying future upgrades.

Performance in practice

When tested with the DeepSeek-R1 671B open model on the NVIDIA GB200 NVL72, Dynamo increased throughput by up to 30x per GPU. When the Llama 70B model was run on the NVIDIA Hopper platform, throughput doubled. These improvements mean businesses can deliver AI services faster and at lower cost.

How Aixia can support your transition to Dynamo

At Aixia, we offer expertise in implementing and optimizing AI infrastructures. We can help your company to.

  • Evaluate compatibility: Analyze your current GPU infrastructure to ensure it is ready for Dynamo.

  • Implement Dynamo: Support the installation and configuration of Dynamo to maximize performance and efficiency.

  • Train staff: Provide training for your team in the use and maintenance of the new platform.

Contact us to discuss how we can help your business benefit from NVIDIA Dynamo and take your AI infrastructure to the next level.

For more information about NVIDIA Dynamo, visit the official NVIDIA website.

Latest News

Why 87% of AI models never reach production – and what you can do about it

87% of machine learning models never reach production. MLOps and AiQu are helping Swedish companies overcome the gap between AI…
Read more

Data center design not keeping up – are Swedish facilities really ready for AI?

Swedish data centers are often touted as world leaders. But there is an inconvenient truth: they are built for a…
Read more

Why industry AI initiatives are stuck between pilot and reality

Many AI pilots look promising but lose momentum in production. Here are five mistakes that are stalling industry AI ventures….
Read more

Storage architecture 2026: When is NAS enough and when do you need something else?

Data volumes are exploding. AI training data, 4K video and CAD models are placing new demands on storage. Learn when…
Read more