Huawei and Partners Launch Grid Forming and AI Initiative
Huawei Digital Power and partner organizations launched the Global Joint Initiative on Grid Forming & AI at the 2026 Global Low-Carbon Industry Forum in Shenzhen on September 15, the company stated in an announcement. The initiative will support standards and large scale deployment of grid forming and AI technologies for stable and affordable electricity systems.
Forum presentations covered solar and energy storage integration, AI based power systems, data centers that interact with power grids, and European markets for grid forming services. Fraunhofer IWES also presented results from a megawatt scale grid forming test conducted with Huawei, including tests of inertia response, overload capacity, and islanded operation.
Terra Solar Philippines presented its MTerra Solar project, which includes 3.5 GW of photovoltaic capacity and 4.5 GWh of grid forming energy storage. Its first phase, comprising 2.5 GWp of photovoltaic capacity and 3.3 GWh of battery storage, entered commercial operation on August 26.
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
Nov 1 Texas poll finds 79% support limits on data centers Nov 1 Planned AI Data Centers Could Reverse 15 Years of US Emissions Cuts Nov 1 National Grid Plans Britain’s Biggest Substation Near Teesside AI Data Centre Nov 1 OpenAI Plans Post Election AI Policy Push Nov 1 GO Telecom Awards $49.6 Million AI Data Center Contract to 3TSilicon 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
Hitachi Energy and Ansaldo Energia Partner on Data Center Power Systems
GridUnity Named ACT Clean Energy Company of the Year
Huawei Proposes AI Data Center Focused Network Architecture
Shanghai Electric Presents Industrial AI and Robotics Systems at CIIF 2026
Huawei Forecasts AI Agents Will Account for Over 90% of Traffic by 2035
Daily AI Brief: the AI news that matters, in your inbox.