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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.
Juan Pedro TomásLian Jye, chief analyst at Omdia, told RCR Wireless News that governments are playing a key role in shaping investment decisions In sum – what to know: AI infrastructure surges across APAC – Omdia forecasts regional AI chipset revenues to rise from US$57B in 2025 to US$81B in 2030, led by China, Japan, and South Korea. Policy drives localization push …
Hitachi and OpenAI will collaborate across multiple areas to reduce the environmental footprint of data centers and speed up AI technology deployment In sum – what to know: Strategic alliance targets global AI infra – Hitachi and OpenAI signed an MoU to jointly expand sustainable, next-generation AI data centers worldwide. Efficiency and reliability – The partnership will develop zero-emission models, …
RCRTech October 2025 — As artificial intelligence continues its rapid ascent from experimental novelty to enterprise imperative, the infrastructure underpinning its evolution has become a focal point of strategic investment and innovation. In response to this accelerating demand, RCRTech is proud to announce AI Infrastructure Week, a dedicated event series launching this December to examine the technologies, architectures and partnerships shaping the future …
Susana SchwartzThe ‘Sacramento Effect’ could mean last week’s flurry of landmark AI legislation could serve as a blueprint for other states In sum – what to know: California passes landmark AI legislation – SB 53, AB853 and SB243 are Senate and Assembly bills that regulate developers of advanced, or “frontier,” AI models; require disclosures about AI-generated content; assess impact of data centers …
Christian de LooperBuying 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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