According to @CNBC, Micron says tough pricing by customers worsened memory shortages, tightening AI server supply and raising costs for model training.

According to CNBC... Micron’s HBM3E surge may lift AI server costs, pressure margins, and constrain GPU deployments for hyperscalers.

According to @CNBC, Micron’s HBM-fueled surge tops Nvidia’s margins, signaling AI memory profits and supply tightness shifting data center economics.

According to @CNBC, Micron executives warn memory chip supply will stay tight past 2027, pressuring AI server costs and HBM roadmaps for hyperscalers.

According to Satya Nadella on Twitter, the new Maia 200 AI accelerator is now available on Azure, offering industry-leading inference efficiency and delivering 30% better performance per dollar compared to existing systems. With over 10 PFLOPS FP4 throughput, approximately 5 PFLOPS FP8, and 216GB HBM3e memory with 7TB/s bandwidth, Maia 200 is optimized for large-scale AI workloads. As reported by Satya Nadella, this addition expands Azure’s portfolio of CPUs, GPUs, and custom accelerators, providing customers with more options to execute advanced AI workloads faster and more cost-effectively.