Pantheon announced plans for a large-scale behind-the-meter data center campus in Croatia powered by advanced nuclear reactors to support growing AI workloads. The project aims to provide reliable, low-carbon power directly onsite, enhancing energy security and sustainability for high-demand AI comp...
Rising AI workload demands are prompting data centers to shift from traditional AC to DC power architectures. This transition reduces energy losses, supports higher power densities, and aligns with sustainability goals. While upfront costs and legacy infrastructure challenges remain, DC power delive...
The integration of multi-silicon inference clouds and disaggregated LLM deployments is reshaping AI infrastructure by addressing inference bottlenecks with heterogeneous hardware and cloud-native orchestration. This analysis explores recent investments and technological advances, highlighting their ...
The inference lattice is reshaping AI compute by distributing inference workloads across specialized, geographically dispersed nodes rather than relying on centralized mega-clusters. This shift addresses physical and social constraints of hyperscale data centers, improves latency and resilience, and...
Tesla and SpaceX’s announcement of Terafab, a $25 billion semiconductor fab targeting 1 terawatt of AI compute annually, signals a potential paradigm shift in AI chip manufacturing. While the scale promises to alleviate supply constraints and accelerate innovation, significant technological and oper...
In 2026, AI infrastructure growth is increasingly constrained by energy supply challenges, prompting over $100 billion in investments into energy technologies and new utility models like 'bring your own power.' This analysis examines how these energy limitations are reshaping data center strategies,...
Gimlet Labs and d-Matrix have announced a partnership to enhance inference performance for agentic AI systems, aiming to improve efficiency and scalability in data center AI workloads. The collaborati...
MariaDB has acquired GridGain for approximately $300 million to integrate its in-memory computing technology with OpenAI's GPT-5.4, aiming to enhance AI infrastructure speed and scalability. The acqui...
NexGen Cloud has completed the deployment of Utilidata’s AI-powered power orchestration platform across its data centers, increasing effective capacity by up to 50%. This software-driven approach opti...
On March 9, 2026, Ciena unveiled new networking technologies designed to enhance data center connectivity for AI workloads. The innovations improve optical transmission speeds, reduce latency, and ena...
Seven Leading AI Hyperscalers Pledge to Fund Power Infrastructure Upgrades in White House Initiative
Seven major AI hyperscale companies have agreed to fund new power generation and grid infrastructure upgrades through a White House-facilitated initiative announced on March 4, 2026. The commitment ai...
VivoPower announced plans to build sustainable data centers designed for sovereign AI infrastructure, integrating renewable energy and advanced cooling systems. The facilities aim to meet growing dema...
Babcock & Wilcox announced a 1.2 GW power generation project designed to provide dedicated electricity for AI-driven data centers. The project aims to address the growing energy demands of hyperscale ...
Polarise announced plans to build a 30-megawatt AI data center designed to enhance data sovereignty and expand AI compute capacity. The facility, expected to be operational by mid-2028, aims to provid...
Hewlett Packard Enterprise announced in March 2026 its integration of Juniper Networks’ routing and switching technologies into its AI data center platforms. This collaboration aims to improve network...
Thinking Machines, founded by former OpenAI CTO Mira Murati, has partnered with Nvidia to develop gigawatt-scale AI data centers. This collaboration aims to meet the escalating compute demands of futu...