Source prnewswire
Delta Guides the Path Towards Optimized Energy Efficiency in Gigawatt-scale Data Centers for AI Training at NVIDIA GTC
Delta, a leader in power management and provider of IoT-based smart green solutions, today offered an in-depth presentation at NVIDIA GTC, a global AI conference, to highlight its new developments in power solutions from grid to chip to optimize energy efficiency in gigawatt-grade data centers for AI training. This includes Delta's on-site displays of ORV3 racks, the 33 kW power shelf and the innovative board-level DC/DC Converters VR Series, featuring game-changing vertical power delivery architecture to increase TVR efficiency of output voltage for GPUs to over 94%*. Delta's vision to enable HVDC 800Vdc distribution inside data centers with a modular Solid State Transformer (SST) cabinet and a 1OU 80kW DC/DC Power Shelf design to convert 800Vdc down to 50Vdc bus voltage on the rack level was also highlighted in the presentation Delta's vision to enable HVDC 800Vdc distribution inside data centers with a modular Solid State Transformer (SST) cabinet and a 1OU 80kW DC/DC Power Shelf design to convert 800Vdc down to 50Vdc bus voltage on the rack level was also highlighted in the presentationRalf Pieper, the R&D Director of Delta's Custom Design Business Unit, said, "As the proportion of GPUs increases in AI computing, global power consumption from data centers is expected to more than double to over 1 trillion kWh by 2026**. Between 2010 and 2022, Delta's solutions helped our customers worldwide save over 39.9 billion kWh of electricity***. Our unique expertise in high-efficiency server power and DC/DC converters, as well as ICT and energy infrastructure, allows us to spearhead the development of groundbreaking solutions capable of supporting the AI megatrend by optimizing the grid-to-chip power conversion cycle Our unique expertise in high-efficiency server power and DC/DC converters, as well as ICT and energy infrastructure, allows us to spearhead the development of groundbreaking solutions capable of supporting the AI megatrend by optimizing the grid-to-chip power conversion cycle
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