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 acquisition would extend BlackRock’s AI-linked portfolio just a year after acquiring GIP for $12.5 billion In sum – what to know: BlackRock eyes $40B acquisition – GIP is nearing a deal to buy Aligned Data Centers, which operates 78 facilities in the Americas, in one of the year’s largest infrastructure transactions. AI demand drives M&A – The planned purchase …
Fujitsu and Nvidia will co-develop an AI agent platform focused on sectors such as healthcare, manufacturing, and robotics In sum – what to know: AI collaboration – the partnership will deliver sector-specific AI agents and computing infrastructure built on Monaka CPUs, Nvidia GPUs, and NVLink Fusion interconnect. Industry apps – a joint AI platform will target manufacturing, healthcare, and robotics, with agents …
In May, the UAE committed to make investments in the U.S. in return for access to several hundred thousand Nvidia AI chips on an annual basis In sum – what to know: Chip deal stalled – a multibillion-dollar agreement between Nvidia and the UAE government for AI chip exports remains frozen nearly five months after its announcement. Commerce approval – the US …
A joint task force from the South Korean government and U.S. asset management firm BlackRock will be created to advance a new AI hub initiative In sum – what to know: AI hub project – a memorandum of understanding between South Korea and BlackRock sets a framework for building a hyperscale AI data center hub powered by renewable energy. APAC AI leader – Korean officials …
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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