Google is in negotiations with SpaceX to secure the company's help in its own nascent effort to put orbital data centers in space, reports The Wall Street Journal. If the two sides were to reach a deal, it would see two competitors working together.
“These two decisions promise to accelerate Internet speeds, strengthen competition, and bolster rural service while allowing America to lead the world in next-gen connectivity, including new high-speed offerings direct to your smartphone from low-earth orbit satellites.”
MaxLinear is a mixed‑signal communications chip company, and its products are in high demand from the data center buildout, requiring more communications equipment. What makes it special is that it has been consistently under-the-radar and trades with a market cap of just $7 billion. That's despite its family of high‑speed PAM4 DSPs targeted at data center optics, plus supporting components like a Washington 200G TIA (transimpedance amplifier) aimed at cost‑effective, low‑power 1.6T optical connectivity for AI data centers.
MI350P packs 144 GB of HBM3e and up to 4.6 petaFLOPS of FP4 grunt into a dual slot card AMD hopes to win over enterprise AI customers with a more affordable datacenter GPU that can drop into conventional air-cooled servers. Announced on Thursday, the MI350P is the House of Zen's first PCIe-based Instinct accelerator since the MI210 debuted all the way back in 2022.
A May 7 incident report time-stamped 5:25 PM PDT states that AWS spotted "instance impairments" in the use1-az4 availability zone of the US-EAST-1 Region. A subsequent update states "EC2 instances and EBS volumes hosted on impacted hardware are affected by the loss of power during the thermal event."
AI is not a substitute for legal judgment, technical understanding, claim strategy, or client counseling. When implemented properly, AI is a force multiplier. It can compress timelines, improve consistency, reduce low-value friction, provide meaningful portfolio intelligence, and allow practitioners to spend more time on the work that actually requires professional expertise.
A solid dependency and topology view lets you see service graphs with upstream and downstream dependencies, visualize Kubernetes workloads, map data flows between services and data stores, and overlay health and SLOs on the topology.
