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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.
Susana SchwartzThe OpenAI-AMD partnership could massively expand OpenAI’s compute capacity for GPT-5 while positioning AMD’s chips as a strong alternative to Nvidia’s In sum – what to know: Turning point – The deal marks a turning point for AMD, which is jockeying for position as a viable alternative to Nvidia in the market for high-performance AI chips. Easing dependence – By …
Juan Pedro TomásCarrier noted that the region’s data center cooling market is projected to reach $7.3 billion by 2031 In sum – what to know: Integrated AI cooling – The QuantumLeap platform combines liquid and air cooling with predictive controls for more efficient, scalable data center operations. Liquid cooling in Asia – Carrier introduces its direct-to-chip cooling solution to meet rising thermal demands from AI and …
Schneider Electric said the first reference design provides a unified framework for power and liquid cooling management In sum – what to know: Reference frameworks – Schneider Electric has released two validated designs with Nvidia, integrating power management, liquid cooling, and operational controls to accelerate AI data center deployment. Nvidia supports – The second design targets AI factories of up to 142 kW per rack, …
Under the deal, Hitachi will supply power transmission and distribution equipment to OpenAI’s data centers In sum – what to know: Hitachi power – Hitachi will supply transmission and distribution systems to OpenAI, helping to reduce energy consumption across its global AI infra network. Stargate project – Hitachi joins SoftBank, Oracle, and MGX in the Stargate initiative to scale compute capacity through …
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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