Ford is shifting its strategy by repurposing idle electric vehicle battery capacity to support the growing energy needs of AI data centers and the electrical grid.
SK hynix announced that its 256GB DDR5 RDIMM memory module built on 32Gb fifth-generation 10nm-class DRAM has completed Intel Data Center certification for the Intel Xeon 6 platform. This validation confirms performance, compatibility, and quality standards required for high-capacity server environments. SK hynix said the module delivers higher inference performance and lower power use compared with earlier designs.
Meta is said to be negotiating a large-scale agreement to use Google’s custom AI chips, signaling a potential shift away from Nvidia-dominated infrastructure and a broader rethink of how hyperscalers build AI systems.
Microsoft’s AI superfactory is not a conventional data center. It is a distributed computing structure where connected facilities work as one machine to handle massive artificial intelligence training and inference tasks. The design confronts limits in networking speed, heat, power, and hardware utilization that arise when scaling AI. The choices in network design, cooling, and physical layout reveal how large AI workloads force a different approach to infrastructure.
Microsoft secures access to 100,000 Nvidia GB300 chips by investing $33 billion in neocloud startups—transforming the scale and speed of its AI hardware ecosystem.
OpenAI and Samsung team up for floating data centers, energy-efficient memory, and enterprise AI services. Learn how this ambitious partnership could change cloud computing and digital infrastructure.
Nvidia has committed $100 billion to OpenAI, primarily for its own hardware. The deal immediately raised Nvidia’s market value by $220 billion and signals growing dominance in AI infrastructure.
AMD has detailed its MI355X DLC rack system with 128 GPUs and 36TB HBM3e, achieving 2.6 exaflops at FP4. The solution is compared to Nvidia’s upcoming Vera Rubin platform, highlighting advancements in AI and HPC scalability.
