Meet the New Standard for High-Performance, Low-Cost Inference: NVIDIA Dynamo 1.0 is now available to DigitalOcean Customers
Link⚡ TL;DR
📝 Summary
Meet the New Standard for High-Performance, Low-Cost Inference: NVIDIA Dynamo 1.0 is now available to DigitalOcean Customers What is NVIDIA Dynamo 1.0? How DigitalOcean optimizes inference workloads with Dynamo to improve throughput and latency The future of inference optimization with NVIDIA and DigitalOcean About the author Connect with our sales team Related Articles The Glue Problem in Modern AI Development The Agentic Era Demands a New Class of Infrastructure: DigitalOcean Acquires Katanemo Labs Run Advanced Reasoning on DigitalOcean with Arcee AI's Trinity Large-Thinking By Waverly Swinton Published: March 19, 2026 3 min read 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). 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. 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 Block Manager (KVBM) moves data between high-speed GPU memory and lower-cost storage tiers, allowing you to handle massive context windows without hitting memory limits. Customers using NVIDIA Dynamo on DigitalOcean can benefit from strong price-to-performance as well as a simple setup and an environment that fits well with Dynamo Architecture, especially for tightly controlled GPU clusters and KV cache optimization and routing.
Open the original post ↗ https://www.digitalocean.com/blog/nvidia-dynamo-1-now-available