# NVIDIA Dynamo 1.0 Is Available to DigitalOcean Customers for Inference Performance and Cost Efficiency

DevFeed: [NVIDIA Dynamo 1.0 Is Available to DigitalOcean Customers for Inference Performance and Cost Efficiency](<https://devfeed.tech/articles/meet-the-new-standard-for-high-performance-low-cost-inference-nvidia-dynamo-1-0-is-now-available-to-digitalocean-customers-19923.md>)

Original publisher: [Read original article](<https://www.digitalocean.com/blog/nvidia-dynamo-1-now-available>)

Author: Waverly Swinton

Published: 2026-03-19T22:13:37Z

Content type: release

Language: en

Sources: [DigitalOcean](<https://devfeed.tech/sources/digitalocean.md>)

Topics: [Dynamo](<https://devfeed.tech/topics/dynamo.md>), [Digital Ocean](<https://devfeed.tech/topics/digital-ocean.md>), [Inference Performance](<https://devfeed.tech/topics/inference-performance.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Generative AI](<https://devfeed.tech/topics/generative-ai.md>), [Inference](<https://devfeed.tech/topics/inference.md>), [Cloud](<https://devfeed.tech/topics/cloud.md>), [GB200](<https://devfeed.tech/topics/gb200.md>), [sglang](<https://devfeed.tech/topics/sglang.md>), [TensorRT-LLM](<https://devfeed.tech/topics/tensorrt-llm.md>), [vllm](<https://devfeed.tech/topics/vllm.md>), [Kubernetes](<https://devfeed.tech/topics/kubernetes.md>)

Tags: [ai-ml](<https://devfeed.tech/tags/ai-ml.md>), [cloud](<https://devfeed.tech/tags/cloud.md>), [cost](<https://devfeed.tech/tags/cost.md>), [deployment](<https://devfeed.tech/tags/deployment.md>), [digitalocean](<https://devfeed.tech/tags/digitalocean.md>), [dynamo](<https://devfeed.tech/tags/dynamo.md>), [gb200](<https://devfeed.tech/tags/gb200.md>), [inference](<https://devfeed.tech/tags/inference.md>), [inference-performance](<https://devfeed.tech/tags/inference-performance.md>), [kubernetes](<https://devfeed.tech/tags/kubernetes.md>), [latency](<https://devfeed.tech/tags/latency.md>), [llm](<https://devfeed.tech/tags/llm.md>), [load-balancing](<https://devfeed.tech/tags/load-balancing.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [product-updates](<https://devfeed.tech/tags/product-updates.md>), [routing](<https://devfeed.tech/tags/routing.md>), [sglang](<https://devfeed.tech/tags/sglang.md>), [tensorrt-llm](<https://devfeed.tech/tags/tensorrt-llm.md>), [vllm](<https://devfeed.tech/tags/vllm.md>)

## AI overview

NVIDIA Dynamo 1.0 is now available to DigitalOcean customers as an inference service framework for large-scale generative AI workloads. The article describes claimed performance improvements on NVIDIA GB200 NVL systems, cost-efficiency benefits, deployment options, and features including GPU-aware routing and disaggregated serving.

## Source excerpt

NVIDIA Dynamo 1.0, which was released on Monday at NVIDIA GTC, is now available to DigitalOcean customers to help drive performance enhancements and cost efficiency. NVIDIA Dynamo 1.0 offers a 7x inference performance increase on NVIDIA GB200 NVL systems, and by pairing it with DigitalOcean's Agentic Inference Cloud, customers can achieve higher performance at lower costs while benefiting from seamless deployment. Working together, DigitalOcean's optimizations with NVIDIA have already achieved a 67% cost savings for customers like Workato, and this new generation of Dynamo can unlock even greater gains for businesses who run production-grade agentic workflows. DigitalOcean customers can get access to NVIDIA Dynamo 1.0 as a container image that can be run on a Droplet or can deploy directly on DigitalOcean Kubernetes with an inference runtime (vLLM, SGlang, TensorRT). What is NVIDIA Dynamo 1.0? NVIDIA Dynamo is a cutting-edge, high-performance inference service framework specifically designed to accelerate and optimize large-scale generative AI and inference models. Dynamo is an orchestration layer that sits above engines like vLLM, SGLang, and NVIDIA TensorRT-LLM. Think of it as the distributed traffic controller for your GPU fleet, seamlessly orchestrating GPU and memory resources across a cluster and reducing bottleneck by intelligently routing requests Key technical breakthroughs offered by Dynamo 1.0 include: 7x Performance Boost: When paired with NVIDIA Blackwell Ultra GPUs, Dynamo can increase inference performance by up to 7x, significantly lowering your cost per token. KV-Aware Routing: Instead of simple round-robin load balancing, Dynamo routes requests to the specific GPUs that already have the relevant "memory" from previous turns of a conversation. Disaggregated Serving: Dynamo splits the "prefill" (reading the prompt) and "decode" (generating the answer) phases across different GPUs to maximize utilization and reduce latency. Memory Offloading: The KV B