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.




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 …
TD Cowen noted that total leasing in Q3 2025 reached a record 7.4 GW, with an additional 10.2 GW of active deals still in the pipeline In sum – what to know: Record-breaking quarter – U.S. hyperscalers leased 7.4GW of capacity in Q3 2025, surpassing the total for all of 2024, with an active pipeline of 10.2GW. Oracle and OpenAI …
Buying up old GPUs for AI might be the way to go for some smaller AI outfits Every time Nvidia drops a new flagship accelerator, the entire AI processing landscape reshapes practically overnight. Hyperscalers scramble for allocation and last generation’s hardware gets treated like it’s ancient history. But what doesn’t get anywhere near as much attention is the outgoing generation of accelerators — which …
New 102.4 tbps Silicon One promises efficiency gains for hyperscalers In sum – what we know: It’s easy to focus on the GPU arms race when talking about AI infrastructure, but the networking connecting all those accelerators is arguably almost as important. You can rack up as many GPUs as your budget allows — but if the data can’t shuttle between them …
How can quantization turn massive models into efficient tools without ruining their accuracy? Running large language models is expensive. The biggest ones pack hundreds of billions of parameters, each stored as a high-precision number that chews through memory, power, and premium hardware. But do we actually need all that precision? Increasingly, the answer is no. That realization has driven the …
Replacing copper with optical pipes could have a significant impact on the AI data bottleneck The semiconductor industry has been following the same steps for decades, revolving around shrinking the transistor and packing them more into a chip. It’s worked remarkably well. But there’s a problem emerging that transistor density simply can’t fix — getting data from point A to …
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