… The Keelung District Prosecutors' Office announced earlier this week that three suspects had submitted fraudulent shipping declarations to export Super Micro servers containing Nvidia AI chips to China, Hong Kong, and Macau. …
… Go deeper with TH Premium: AI and data centers Photonics and high-speed data movement is the next big AI bottleneck The data center cooling state of play Massive AI data center buildouts are squeezing energy supplies Ultra Ethernet: The data center interconnection of tomorrow Located off the coast … …
… In fact, humanity’s penchant for mobile devices and replacing them every few years is one of the biggest contributors to e-waste, so the group from UCSD planned to give these discarded devices a second life as a “general-purpose computing platform.” Go deeper with TH Premium: AI and data centers Ph… …
… Meanwhile, server CPUs are being tightly squeezed by the shift of AI workloads from training toward inference and agentic execution. Agentic AI leans heavily on host processors for tool calls, code execution, and data handling, and CPU demand has outrun supply as a result of the agentic explosion. …
Putting AI servers in space has been discussed as a holy grail of sorts for some time now. The economics of an orbiting data center would benefit from always-available solar power, even considering the relative difficulty in cooling the rack units. …
… Sometimes retailers are implementing significant markups, so it's more affordable to shop at Nvidia for certain models. While Nvidia doesn’t appear to offer the server variant directly to the general public, Newegg has it listed for a steep $14,999. …
… Eight of these accelerators with a full 480GB of RAM each would produce an impressively dense server with 3.8 TB of local GPU memory, allowing for massive models or swarms of smaller AI agents to reside within one box. …
… The company posted particularly strong gains in notebooks and servers, where EPYC adoption pushed AMD’s server revenue share close to half of the entire x86 server market. …
… It turns out that launching it at such speed meant that it has a mix of H100, H200, and GB200 GPUs, which is resulting in efficiencies for training AI LLMs as the faster GB200 GPUs end up waiting for the older, slower GPUs before it can complete each computational step. …
… Intel has also reportedly redirected its constrained Intel 7 capacity toward server and industrial customers, where margins are significantly higher. …