eighthatsllc
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 TomásThe new permits for AI chip shipments by Nvidia apply only to U.S. companies operating in the UAE In sum – what to know: U.S. approves Nvidia chip exports – Licenses allow several billion dollars’ worth of Nvidia AI chips to be shipped to U.S. companies like Oracle operating in the UAE. Part of U.S.-UAE AI accord – The permits …
Phil Wong, partner at KPMG, told RCR Wireless News that companies investing in AI infrastructure must balance speed, cost, and coordination In sum – what to know: Policy accelerates AI buildout – Federal programs and Department of Energy actions are expediting land access and permitting to keep the U.S. at the forefront of global AI infra growth. States compete for …
In sum – what to know: OpenAI explores Canada expansion – The company is in talks with government and industry partners about securing local data center capacity to strengthen the country’s AI ecosystem. Part of global AI buildout – Similar to projects in Norway, Germany, and the U.K., OpenAI aims to align infrastructure growth with its “OpenAI for Countries” program. …
Susana SchwartzThe staggering size and circular nature of recent deals raises both hopes and concerns, so keeping track will inform industry and investment decisions about where to go from here. In sum – what to know: Highly concentrated market – The last 30 days has seen a small number of major tech firms making enormous AI infrastructure deals, unprecedented in size …
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 …
Enterprise
