DeeperML

Nvidia's Dynamo is a new open-source framework designed to tackle the complexities of scaling AI inference operations. Dynamo optimizes how large language models operate across multiple GPUs, balancing individual performance with system-wide throughput. Introduced at the GPU Technology Conference, Nvidia CEO Jensen Huang has described it as "the operating system of an AI factory".

This framework includes components designed to function as an "air traffic control system" for AI processing. These key components include libraries like TensorRT-LLM and SGLang, which provide efficient mechanisms for handling token generation, memory management, and batch processing to improve throughput and reduce latency when serving AI models. Nvidia's nGPT combines transformers and state-space models to reduce costs and increase speed while maintaining accuracy.

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References :

• Gradient Flow: Diving into Nvidia Dynamo: AI Inference at Scale
• bdtechtalks.com: Nvidia’s Hymba is an efficient SLM that combines state-space models and transformers
• MarkTechPost: NVIDIA AI Researchers Introduce FFN Fusion: A Novel Optimization Technique that Demonstrates How Sequential Computation in Large Language Models LLMs can be Effectively Parallelized

Classification:

• HashTags: #NvidiaDynamo #AIInference #GPUs
• Company: Nvidia
• Target: AI community
• Product: Dynamo
• Feature: AI Inference
• Type: ProductUpdate
• Severity: Informative