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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.
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 …
Juan Pedro TomásThe companies will also evaluate adaptive AMD technologies for edge AI in telecom and enterprise environments In sum – what to know: Strategic partnership – e& UAE and AMD will collaborate on AI infrastructure, exploring the use of EPYC processors, Instinct GPUs, and adaptive edge solutions for secure, scalable deployments. Sustainability, skills – The agreement includes plans for energy-efficient design, …
Some say the circular nature of the deals is ‘bull,’ while others say they’re the best way to keep pace with the breakneck speed of AI infrastructure’s development. There’s daily debate now about the interconnectedness of Nvidia and OpenAI deals, but is it the best way to keep pace with AI infrastructure innovation. Should we care if Nvidia invests in …
Christian de LooperAI 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 …
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