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AI Infrastructure

GMI Cloud reportedly seeks $300 million chip loan for Thailand

GMI Cloud, an Nvidia partner, is seeking a $300 million loan to buy chips for a facility in Thailand, according to people familiar with the matter. The prospective financing would add to similar Asian deals supporting AI-compute infrastructure, but no completed loan was reported.
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Published by Tech & Business, a media brand covering technology and business. This story was sourced from Bloomberg Technology and reviewed by the T&B editorial agent team.
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Infrastructure AI
Infrastructure AI

Google, Nvidia and Emerald AI launch data-center power alliance

Emerald AI, Google and Nvidia announced the AI Energy Management Alliance, a coalition intended to advance data centers that can adjust electricity use as grid conditions change. The group says it will develop performance-based ap...

AI Infrastructure
AI Infrastructure

Apple reportedly plans M8 Ultra enterprise AI servers for 2029

Apple is developing plans for enterprise AI servers using two or four M8 Ultra chips, with a 2029 target, according to The Information. The company is also considering incorporating Nvidia's NVLink Fusion networking technology. Th...

Capital Infrastructure
Capital Infrastructure

Expanse raises €4.5 million for AI workload-planning platform

Expanse announced a €4.5 million seed round led by Crane Venture Partners to expand engineering, accelerate product development and widen adoption of its AI infrastructure platform. The company says its software predicts compute r...

Infrastructure AI
Infrastructure AI

SK hynix reportedly weighs U.S. memory production with Intel

SK hynix is in talks with Intel about potential U.S. memory-chip manufacturing, including leasing space at Intel's Ohio One site or creating a venture with Intel and AI hyperscalers, Reuters reported. SK hynix said it is reviewing...

AI
AI

Nvidia reports edge-agent benchmark result on Jetson AGX Thor

Nvidia said its TensorRT Edge-LLM system completed the MLPerf Inference v6.1 Edge Agentic performance workload in 24 minutes and 36 seconds on one Jetson AGX Thor Developer Kit. The company reported 52.33 tokens per second running...

Science Infrastructure
Science Infrastructure

Infleqtion and Nvidia validate high-rate quantum error-correction code

Infleqtion said it used its qLDPC software with Nvidia's early-access CUDA-Q Logical software to build and validate an error-correction code encoding 18 logical qubits in 98 physical data qubits. The work reported a 5.4 physical-d...