This document represents the reference architecture for the NVIDIA Enterprise AI Factory for Supermicro SYS-212GB-FNR systems. It is a comprehensive explanation of the technology used, each component’s purpose and configuration.
Supermicro Building Block solutions for 5G networks, the intelligent edge, and embedded applications.
Liquid-Cooled Infrastructure-Scale Solution
This document represents the reference architecture for the NVIDIA Enterprise AI Factory for Supermicro SYS-212GB-FNR systems. It is a comprehensive explanation of the technology used, each component’s purpose and configuration.
Supermicro Building Block solutions for 5G networks, the intelligent edge, and embedded applications.
Liquid-Cooled Infrastructure-Scale Solution
Compact, Plug-and-Play Cooling Solution for High-Density AI and HPC Racks
High-Efficiency Liquid-to-Liquid Cooling Solution for Cluster-Level Deployment
Seamless Liquid-to-Air Cooling Solution for Air-Cooled Data Centers
Infrastructure-Scale Facility Water Cooling Designed for Low-PUE/WUE Data Centers
Autonomous Multi-Agent Monitoring, Debugging, and Remediation on Supermicro A+ Platforms with AMD Instinct™ GPUs.
In this solution brief, we will describe a high-performance storage cluster, purpose-built for the most demanding AI training and inference workloads running over an Ethernet network. The key components of the storage architecture include Supermicro’s Petascale server equipped with Micron E3.S NVMe, connected via NVIDIA Spectrum-X Ethernet.
All-in-One Edge Infrastructure Solution for Stores
Supermicro X14 Systems Deliver Outstanding Storage Performance and Power Efficiency for Optimal Storage Solutions in AI, HPC, and Critical Enterprise Applications.
Enterprises face significant hurdles in the quest for new AI functionality in their business processes and products. According to IDC research, 50% of respondents worldwide say that less than half of their AI-related projects have delivered measurable business outcomes, and only 11.4% report that they are obtaining measurable business results from more than 75% of their AI projects.
Introducing 4 storage essentials for enterprise AI success; explore how to right-size data lakes (for aggregating enterprise data) and lakehouses (for running analytics) to power success in the AI era.
Adopting Direct-to-Chip Liquid Cooling to Help Address Exponentially Increasing Power Consumption
Neoclouds Move AI Builders Faster – From Inspiration to Empire
