RCRTech engages industry communities through research-driven content, conversations, and connections. Building on 40+ years of RCR Wireless News excellence, RCRTech delivers trusted insights informing and connecting technology buyers with innovators shaping connectivity and compute.
RCRTech engages industry communities through research-driven content, conversations, and connections. Building on 40+ years of RCR Wireless News excellence, RCRTech delivers trusted insights informing and connecting technology buyers with innovators shaping connectivity and compute.



![]()
The new hub announced by OpenAI, Oracle, and Vantage Data Centers, will include four hyperscale facilities In sum – what to know: $15B+ AI data hub for Wisconsin – OpenAI, Oracle, and Vantage will build data center campus near Milwaukee with nearly 1GW of computing capacity, boosting regional jobs and investment. Sustainability at core of design – The project includes …
OpenAI noted that Japan’s data center market is expected to surpass JPY5 trillion ($33.2 billion) by 2028 In sum – what to know: JPY5 trillion AI infra market by 2028 – Japan’s data center market is projected to exceed this value, highlighting growing demand for AI-driven computing power. Coordinated DX and GX policies – The Blueprint emphasizes synchronized investment in …
A major AI-focused network project between Qatar’s GBI and Nokia highlights the critical role of subsea and terrestrial fibre in global connectivity. With a new terrestrial route through Iraq, GBI is enhancing east-west internet capacity, resilience, and route diversity. It tells us a lot about the anatomy of the whole global setup – and specifically the hidden connections between the …
The AWS outage highlights the need to make DNS a mission-critical component of resiliency — here are 4 key areas to consider. In sum – what to know: DNS is strategic – DNS is not a minor network utility, but rather a strategic component of AI. Wake-up call — This week’s AWS outage may accelerate improvements to DNS features for …
AI compute isn’t one thing. It’s two. Under the umbrella of “AI workloads,” training and inference represent distinct computational worlds with different goals, hardware profiles, and economics. They often get lumped together, but the split matters — especially as it relates to the compute capacities of the data centers that are used for these two different tasks. Understanding the divide …
For decades, compute has scaled faster than memory. Processors can execute more operations every year, but the speed at which data moves in and out of memory has lagged behind. That mismatch, known as the “memory wall,” is now one of the defining constraints in artificial intelligence. AI makes the problem even worse. These days, training and serving large models …
The semiconductor industry is changing quickly, especially as it relates to AI. As AI workloads grow ever more demanding, old monolithic chips are giving way to new chiplet-based designs. But what exactly are chiplets and how will they radically improve performance for AI? Here’s a look. What are chiplets? Chiplets are small, functional blocks of silicon, each optimized for a …
Artificial intelligence has reshaped the semiconductor industry, driving an endless chase for better performance and efficiency. But as transistor scaling slows and Moore’s Law fades, the gains from smaller nodes are running into a wall. Now, packaging is where the real action is. In this new phase, performance breakthroughs aren’t being won by shrinking transistors — but instead by innovating …
Enterprise

