Meta is stepping up its efforts to boost AI capabilities by forming a new partnership with Amazon Web Services (AWS). The deal will see Meta deploying tens of millions of AWS Graviton5 cores, a type of CPU designed for high-performance workloads. Each Graviton5 chip packs 192 cores, and Meta plans to expand this deployment as
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Hardware & Semiconductors
Meta is ramping up its AI infrastructure with a new deal to deploy millions of AWS Graviton5 cores. This move boosts Meta’s ability to handle complex, agentic AI workloads and signals a focus on balancing scale with system control. The partnership will see “tens of millions” of these chips integrated into Meta’s AI projects, including
At the recent Google Cloud Next conference, Google and NVIDIA revealed their latest hardware plans designed to make AI inference more affordable at large scales. They showcased new A5X bare-metal instances built on NVIDIA Vera Rubin NVL72 rack-scale systems. This joint effort combines hardware and software design to slash inference costs significantly while boosting processing
Late last year, a major retailer faced a big challenge. They were running a large AI model for search and recommendations, and during peak times, their GPU costs skyrocketed. They had already doubled their GPU count but still saw latency spikes. That’s when they called in an expert to figure out what was really happening
Syenta, an Australian company developing new ways to connect chips inside AI systems, has secured $26 million in a Series A funding round. The company was founded by Dr. Jekaterina Viktorova and grew out of research at the Australian National University. Its technology aims to solve a growing problem in AI: the bottleneck that occurs
Apple has a new leader. Tim Cook, who has been at the helm for over a decade, announced he will step down as CEO and become chairman of the board. Taking over as CEO starting September 1 is John Ternus, currently the head of hardware engineering. This change marks a significant shift for one of
Apple Silicon is on the verge of a major leap forward. The company is likely to be the first to incorporate revolutionary chips at the 1.4- and 1-nanometer scale. If successful, this will keep Macs, iPhones, and iPads ahead of the competition in performance and energy efficiency. Experts believe TSMC is working on developing these
The global shortage of memory chips continues to impact the tech industry, with supply struggling to keep up with rising demand. The surge is mainly driven by the rapid growth of artificial intelligence applications and other high-tech sectors. Despite plans to boost production, most manufacturers are only able to meet around 60% of the worldwide
As more companies adopt Macs for their workforce, the secondary market for these devices is booming. With sales of new Macs increasing, there’s a parallel rise in refurbished and used Macs being resold or repurposed. To support this trend, Blancco Technology Group and Cambrionix have launched a new system designed to quickly erase and prepare
nEye.ai, a startup based in Silicon Valley, is working on a bold idea: as AI systems grow bigger, the bottleneck won’t be the chips themselves but the data connections between them. The company’s innovation involves integrating optical switches directly into data center hardware, making data transfer faster and more efficient. Recently, they announced raising $80
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