Senao Networks Unveils Titanium Power Supply Series for AI Data Centers
Senao Networks has introduced its latest Titanium Power Supply Series, designed to meet the energy demands of AI computing and high-performance data centers, announced in a press release. The series, showcased at MWC Barcelona 2025, offers power outputs ranging from 2000W to 3200W with Titanium efficiency exceeding 96%, significantly reducing energy consumption and carbon emissions.
The Titanium Power Supply Series features a fully digitalized design, providing precise power monitoring and intelligent control for optimized energy distribution. This ensures stable performance under high workloads while minimizing power losses and operational costs. Additionally, the series supports I2C and PMBus protocols for remote monitoring of critical parameters, enhancing system stability and efficiency.
Senao Networks' new power supply solutions are part of their comprehensive CRPS portfolio, which includes models with Platinum efficiency over 94%. These products are designed for seamless integration into various high-performance computing environments, including AI data centers, AI servers, and edge computing systems.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Silicon Brief or Daily AI Brief.
Also, consider following us on social media:
More from Data Centers
Oct 16 Hitachi Energy and Ansaldo Energia Partner on Data Center Power Systems Oct 16 Clivet Unveils Magnetic Bearing Compressor for AI Data Center Cooling Oct 15 Rising rates strain AI data center fundraising Oct 15 Ukrainian Drones Hit Sberbank Data Center Planned for Supercomputer Oct 15 Brightray Signs Letter of Intent for 10 MW Indiana AI Data CenterSilicon Brief
Weekly coverage of AI hardware developments including chips, GPUs, cloud platforms, and data center technology.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
Delta Debuts DC Power System for AI Data Centers
Texas Instruments Debuts Nanosecond Telemetry ADC for AI Data Centers
DIGITIMES Examines 800 VDC Power for AI Data Centers
Delta to Show AI Data Center Power and Cooling Systems at OCP 2026
Huawei Unveils Grid Interactive AI Data Center Solution
Daily AI Brief: the AI news that matters, in your inbox.