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.



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Serving the enterprise makes flexibility and agility a key focus, so a smaller footprint and compatibility with commodity IT equipment are differentiators. Colovore has pioneered ultra-high-density, liquid-cooled data centers purpose-built for AI and high-performance computing (HPC) workloads. The company has become a trusted testbed for visionary AI hardware companies like Nvidia, Cerebras, Groq, SambaNova, and d-Matrix. Before his participation in …
The investment from Microsoft includes more than $10 billion in capital expenditure on AI data centers and infrastructure In sum – what to know: $15.2B investment through 2029 – Microsoft expands UAE AI and cloud infrastructure, including $10 billion in capital spending and major datacenter projects in Abu Dhabi and Dubai. Advanced GPU capacity established – The company secured U.S. …
They can choose routes that make them essential drivers of the AI future In sum, what to know: Current success can lead to future success –Telecom has succeeded in its substantial, practical AI implementations, but so much more is possible through strategic investments and evolving partnerships. Cloud native for flexibility, scalability –The move to cloud native will make it possible to …
Nvidia said that Samsung Electronics will build an AI factory with 50,000 GPUs In sum – what to know: $3B AI infrastructure expansion – Over 260,000 Nvidia GPUs to power sovereign and industrial AI across Korea’s cloud, manufacturing, and research sectors. Industrial leaders drive AI growth – Samsung, Hyundai, SK Group, and Naver each deploying 50,000+ GPUs, creating large-scale AI …
AI 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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