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Home Tech News

Core42 Advances U.S. AI Infrastructure Strategy with expanded New York Deployment

Aya Zhang by Aya Zhang
June 2, 2026
in Tech News

Core42 has expanded its Buffalo AI cluster from 18MW to 60MW, adding 42MW of AI compute capacity in the United States and further strengthening its global AI infrastructure footprint.

  • Core42 has expanded its Buffalo AI cluster from 18MW to 60MW, adding 42MW of US AI compute capacity.
  • The expansion adds NVIDIA and AMD capacity to the site’s existing AMD foundation, reinforcing Core42’s broader heterogeneous AI infrastructure strategy.
  • “Maximus”, the existing AMD deployment, ranked No. 20 on the TOP500, validates Core42’s ability to deliver high-performance AI infrastructure at global scale.

Core42, a G42 company specializing in sovereign cloud and AI infrastructure, today announced a 42MW expansion of its U.S. AI infrastructure at the Lake Mariner site in New York, increasing total site capacity from 18MW to 60MW of high-performance AI production infrastructure.

The expansion reflects G42’s continued capital investment in scaling AI infrastructure across the United States.

Lake Mariner serves as a North American AI infrastructure hub within Core42’s globally distributed network. The facility previously demonstrated architectural performance with the AMD Instinct MI300-based Maximus cluster securing a Top-20 ranking on the global TOP500 supercomputing list. The integration of additional AMD and NVIDIA infrastructure strengthens the site’s heterogeneous design, enabling workload optimization across multiple accelerator platforms.

Beyond Lake Mariner in Buffalo, New York, Core42’s U.S. footprint includes deployments in Dallas, Texas, Sunnyvale and Stockton, California, and Minneapolis, Minnesota, including the Condor Galaxy supercomputers, developed in collaboration with Cerebras. Together, these sites extend Core42’s heterogeneous AI architecture across the United States, enabling workload-optimized deployment for both frontier training and high-speed inference at production scale.

Talal M. Al Kaissi, Chief Executive Officer, Core42

“We are scaling our U.S. infrastructure in line with long-term deployment programs,” said Talal M. Al Kaissi, Chief Executive Officer, Core42. “Increasing our U.S. capacity at Lake Mariner strengthens our ability to serve hyperscale, AI-native and large enterprise workloads, and further extends the build out of our AI infrastructure globally.”

The Buffalo expansion forms part of Core42’s broader international infrastructure buildout, spanning the United States, Europe and the Middle East. In 2025, the company established its European headquarters in Dublin and expanded AI compute deployments across Italy and France, alongside continued U.S. capacity growth.

Core42’s AI Cloud platform, which was introduced in October 2025, is the access layer to the distributed AI infrastructure, allowing customers to provision compute across jurisdictions under a consistent operating model. The platform supports the full AI lifecycle, from large-scale training and fine-tuning to real-time inference, leveraging heterogeneous infrastructure with multiple options to help drive optimal price-performance. With 10 operational sites globally and additional deployments planned for 2026, Core42 continues to scale the infrastructure foundation required to operate AI at national and enterprise scale.

Tags: 42MW expansion60MW capacityaccelerator platformsAI acceleratorsAI cloud platformAI cloud servicesAI computeAI data centersAI ecosystemAI inferenceAI InfrastructureAI InnovationAI lifecycleAI production infrastructureAI trainingAMD Instinct MI300artificial intelligenceBuffalo New YorkCerebrasCloud Computingcloud infrastructurecompute capacityCondor GalaxyCore42Core42 AI CloudDallas Texasdata center expansiondata center growthdigital infrastructuredistributed AI infrastructureenterprise AIenterprise technologyenterprise workloadsEuropean headquarters Dublinfine tuning modelsFrance AI deploymentsfrontier AI trainingG42G42 expansiongenerative AI infrastructureglobal AI infrastructureglobal expansionheterogeneous AI architectureheterogeneous computingHigh Performance ComputingHPChyperscale computingIreland AI infrastructureItaly AI deploymentsLake Marinerlarge language modelsmachine learning infrastructureMaximus clusterMinneapolis Minnesotanational scale AINew York AI data centernext generation AI infrastructureNVIDIA infrastructureproduction scale AIreal time inferencesovereign AIsovereign cloudStockton CaliforniaSunnyvale CaliforniaTalal M Al KaissiTOP500 supercomputerU.S. AI infrastructureUnited States AI infrastructure
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