NVIDIA Dynamo Platform is a high-performance, low-latency inference platform designed to serve all AI models across any framework, architecture, or deployment scale. Whether running image recognition on a single entry-level GPU or deploying billion-parameter reasoning large language models (LLMs) across hundreds of thousands of data center GPUs, the NVIDIA Dynamo Platform delivers scalable, efficient AI inference.

Features

• Modular Inference Framework: NVIDIA Dynamo is an open-source, low-latency, modular inference framework for serving generative AI models in distributed environments.
• Intelligent Resource Scheduling: Seamless scaling of inference workloads across large GPU fleets with intelligent resource scheduling and request routing.
• Optimized Memory Management: Efficient memory management and seamless data transfer.
• LLM-Specific Optimizations: Supports all major AI inference backends and features large language model-specific optimizations, such as disaggregated serving.
• High Throughput: Increased throughput for models like DeepSeek-R1 671B and Llama 70B, with significant performance improvements.

Benefits

• Scalability: Ideal for developers looking to accelerate and scale generative AI models with the highest efficiency at the lowest cost.
• Flexibility: Supports high-performance inference on both NVIDIA GPUs and x86 & Arm CPUs, deployable across all major clouds and on-premises.
• Ease of Use: Provides tools for provisioning, deploying, and orchestrating containerized services on large GPU fleets.
• Performance: Delivers breakthrough performance for AI inference, maximizing throughput and minimizing latency.
• Comprehensive Support: Available with enterprise-grade support, security, stability, and manageability through NVIDIA AI Enterprise.