Breaking news and analysis from the data center industry
MediaTek and Microsoft Research have jointly developed an Active Optical Cable technology using MicroLED light sources that could deliver up to 50% power savings compared to conventional VCSEL-based alternatives. The technology aims to solve critical trade-offs between reach, power efficiency, and reliability in data center transmissions.
Major cloud providers are accelerating massive data center expansions with $710 billion in planned capital expenditures for 2026, driving development of 10+ gigawatt-scale megacampuses across North America alone. Meta's $10 billion Indiana project and Oracle's operational 1.2 GW Stargate facility exemplify the unprecedented scale of AI-driven infrastructure investments.
Google Cloud and NVIDIA announced fractional GPU access via G4 virtual machines and new Blackwell-powered cloud instances at GTC 2026, targeting cost-effective AI infrastructure deployment. The GPU-as-a-Service market is projected to reach $26.43 billion by 2031, while hyperscalers plan $600 billion in capex spending for 2026.
MONAT Global Corp has announced a strategic integration with Meta platforms, expanding its social commerce ecosystem within the direct sales industry. The announcement was made at the company's Leadership Circle Conference in Miami Beach, representing a significant development in social commerce evolution for direct selling organizations.
Super Micro Computer announces new enterprise AI systems featuring NVIDIA RTX PRO 4500 Blackwell Server Edition GPUs, designed for space and power-constrained data center environments. The modular systems target enterprise workloads including AI inference, data analytics, and virtual desktop infrastructure across data center and edge deployments.
Nebius Group N.V. has successfully priced a $4.0 billion convertible senior notes offering, comprising $2.25 billion in 2031 notes and $1.75 billion in 2033 notes. The Amsterdam-based AI infrastructure company plans to use the proceeds to accelerate its data center and AI computing capabilities expansion.
AI infrastructure company Nebius Group announced plans for a $3.75 billion private offering of convertible senior notes split between 2031 and 2033 maturities. The substantial fundraising effort reflects the company's aggressive expansion strategy in the rapidly growing AI compute market.
CrowdStrike and Nebius have formed a strategic partnership to integrate the Falcon cybersecurity platform with Nebius AI Cloud infrastructure. The collaboration aims to provide enterprise-grade security for organizations scaling AI workloads on high-performance cloud environments.
Nebius has announced a collaboration with NVIDIA to develop an end-to-end cloud platform specifically designed for robotics and physical AI applications. The partnership combines Nebius's global AI cloud infrastructure with NVIDIA's Physical AI Data Factory Blueprint to support the complete robotics development lifecycle from simulation to deployment.
The United States is set to add a record 86 GW of electric generating capacity in 2026, up from 53 GW in 2025, as global energy disruptions and policy changes drive unprecedented infrastructure investment. Rising oil prices above $80/bbl and Middle East tensions are pushing electricity generation toward coal, nuclear, and backup systems while states grapple with rate pressures.
Supermicro has announced seven fully integrated AI Data Platform solutions built on NVIDIA reference architectures and featuring the latest RTX PRO 6000 and 4500 Blackwell Server Edition GPUs. The platforms, developed with partners including IBM, Nutanix, DDN, and others, aim to accelerate enterprise AI adoption through turnkey infrastructure solutions.
Super Micro Computer announced new AI server systems powered by NVIDIA's upcoming Vera Rubin platform, featuring liquid-cooling technology designed to deliver 10x throughput per watt improvements. The company's Data Center Building Block Solutions (DCBBS) will support configurations scaling up to 72 Rubin GPUs per rack for next-generation AI factory deployments.
Dell Technologies announces significant traction for its AI Factory partnership with NVIDIA, reporting over 4,000 customers and up to 2.6x ROI within the first year of deployment. The company unveiled new AI data platform capabilities and desktop AI supercomputers to address enterprise demand for on-premises AI infrastructure.
Vertiv has introduced simulation-ready power and cooling infrastructure models designed for NVIDIA's Vera Rubin DSX AI factory reference design. The Vertiv OneCore Rubin DSX platform features standardized 12.5MW building blocks aimed at accelerating AI data center deployments and reducing integration risks.
Nebius Group has signed a five-year, $12 billion AI infrastructure supply agreement with Meta, representing one of the largest AI cloud capacity deals announced to date. The contract will leverage NVIDIA's Vera Rubin platform across multiple locations, with capacity delivery beginning in early 2027.
Panasonic launches dedicated liquid cooling business in Europe targeting AI data centers with 1.2MW+ cooling capacity, as rack densities surge from 16kW average to 30-40kW for AI workloads. Major tech giants announce over $270 billion in AI infrastructure investments, intensifying demand for advanced thermal management solutions.
Nscale announced its acquisition of American Intelligence & Power to secure critical site permits and power agreements for AI data center expansion. The deal comes as hyperscalers prepare to invest $700 billion in AI infrastructure in 2026, marking a significant acceleration in data center development.
Major cloud providers are committing over $300 billion to data center construction in 2026, with Meta, Google, Microsoft and others breaking ground on gigawatt-scale facilities across North America and internationally. The unprecedented expansion, driven by AI workload demands, includes 35 GW under construction in North America alone with 92% pre-leased capacity.
The GPU-as-a-Service market is projected to reach $7.36 billion in 2026, while hyperscalers plan over $600 billion in capital expenditures. Industry analysts warn of an impending consolidation that could see a few providers control 80% of the market by 2027.
Major hyperscalers including Google, Microsoft, Meta, Oracle, xAI, OpenAI, and Amazon signed a White House-brokered pledge on March 4, 2026, committing to build and fund new power generation for their data centers without passing costs to residential ratepayers. The agreement requires companies to negotiate separate rate structures with utilities and pay for infrastructure regardless of usage, addressing growing concerns about AI-driven energy demands.
Microsoft secured approvals for 15 data centers in Wisconsin valued at over $13 billion and expanded North Carolina capacity to 4.5 GW, while Meta broke ground on a $10 billion, 1 GW campus in Indiana. The announcements highlight continued hyperscale investment despite industry-wide construction capacity declining 5.5% from 2024.
Nvidia invested $2 billion in AI cloud firm Nebius and an additional $2 billion in photonic companies as hyperscalers prepare to spend approximately $700 billion on AI infrastructure in 2026. The investments come amid surging demand for AI computing resources and the unexpected cancellation of Oracle and OpenAI's Texas Stargate expansion project.
Major cloud providers announced over $50 billion in new data center investments in early March 2026, focusing on gigawatt-scale AI campuses. Meta broke ground on a $10 billion, 1 GW facility in Indiana while Google pledged 7,800 MW of new generation capacity in Texas alongside grid upgrade commitments.
Equinix has unveiled its Distributed AI Hub, a unified framework designed to help enterprises connect, secure, and manage complex AI ecosystems across 280 data centers. The platform integrates with Palo Alto Networks to provide real-time threat detection and offers vendor-neutral access to AI infrastructure providers.
Amazon Web Services has announced a collaboration with Cerebras Systems to deploy CS-3 wafer-scale processors on Amazon Bedrock for accelerated AI inference workloads. The solution will combine AWS Trainium servers, Cerebras CS-3 systems, and Elastic Fabric Adapter networking to target generative AI and large language model applications.
AI cloud provider Nebius has named Dan Lawrence as Senior Vice President and General Manager for the Americas to lead its North American expansion efforts. Lawrence will scale the company's commercial operations from Boston to meet growing demand for specialized AI infrastructure across multiple customer segments.