Key Takeaway
Spectrum-X networking boosts AI storage traffic by 48% over traditional Ethernet through adaptive routing and congestion control. It leverages the Nvidia AI-Q Blueprint, which includes NeMo Retriever microservices for efficient data extraction on Nvidia GPUs. The Llama Nemotron model family is offered as Nvidia NIM microservices in various sizes—Nano for PCs, Super for single GPUs, and Ultra for multi-GPU servers. Nvidia has conducted extensive post-training on DGX Cloud using synthetic data, making tools and datasets available for enterprises to develop custom models. Storage providers like DDN and Dell are collaborating with Nvidia to create tailored AI data platforms.
Spectrum-X networking enhances AI storage traffic by 48% compared to traditional Ethernet through adaptive routing and congestion control techniques.
The infrastructure leverages the Nvidia AI-Q Blueprint to develop systems capable of reasoning and connecting to enterprise data. This blueprint integrates NeMo Retriever microservices to accelerate data extraction and retrieval processes on Nvidia GPUs.
The Llama Nemotron model family is offered as Nvidia NIM microservices in Nano, Super, and Ultra sizes, each tailored for specific deployment requirements. The Nano model ensures accuracy on PCs and edge devices, the Super model balances accuracy and throughput on a single GPU, and the Ultra model delivers agentic accuracy on multi-GPU servers.
Nvidia performed extensive post-training on Nvidia DGX Cloud using curated synthetic data generated by Nvidia Nemotron and other open models. The tools, datasets, and post-training optimization techniques will be made publicly available, providing enterprises the flexibility to create custom reasoning models.
Industry partners implement Nvidia AI capabilities
Numerous storage providers are collaborating with Nvidia to develop custom AI data platforms. DDN is integrating these capabilities into its Infinia AI platform, while Dell is designing AI data platforms for its PowerScale and Project Lightning solutions.
101 Comments