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 TomásSpeaking at the recent Cisco AI Summit, Jeetu Patel, the company’s president and chief product officer, outlined what he described as three major constraints holding back AI In sum – what to know: Infrastructure limits slow AI scale – Power, compute and network bandwidth shortages remain the biggest constraint. Trust becomes prerequisite for adoption – Cisco says security and confidence …
Martina Raveni, senior analyst at research firm GlobalData, told RCR Wireless News that space is a promising approach to address the upcoming energy crunch that threatens to hinder AI development. In sum – what to know: AI goes into orbit – CASC plans gigawatt-class space-based data centers that integrate computing, storage and connectivity to process data directly in space. Energy …
Susana SchwartzBYOP aims to resolve critical bottlenecks in the AI race with ‘time-to-power’ for data centers In sum — what to know: Texas’ environmental regulator this week issued the largest air pollution permit in the country to Pacifico Ranch’s GW Ranch, which has secured permits for up to 7.65 GW of power generation. This will be the largest BYOP in the U.S., sourcing …
Christian de LooperUltimately, a hybrid approach will probably win out The AI hardware conversation tends to fixate on the biggest, most powerful chips. But there’s a parallel hardware race that doesn’t generate the same headlines — low-power edge accelerators from companies like Hailo, Qualcomm, and Nvidia’s own Jetson line are quietly reshaping where and how AI inference actually happens. These chips aren’t competing with …
New Broadcom agreements secure long-term TPU supply and 3.5 gigawatts of future capacity for Anthropic In sum – what we know: The Broadcom-Google-Anthropic love triangle continues. The three companies have announced a number of major new deals, largely focused on Broadcom. Under the first agreement, Broadcom will design and supply Google’s custom Tensor Processing Units through 2031. The second deal …
Cognichip just got $60 million in Series A funding to bring its concept to life In sum – what we know: There’s a ton of hype around AI chips, but what about AI-designed chips. That’s the idea behind Cognichip, which is building what it describes as the first physics-informed AI foundation model for semiconductor design — and it just closed a …
Nvidia’s big Marvell deal will see the two expand the NVLink Fusion platform In sum – what we know: Nvidia’s march into AI data centers continues. The company has announced a $2 billion investment in Marvell, alongside a significantly expanded technical collaboration covering AI infrastructure and next-gen telecom networks. The investment highlights where Nvidia thinks the next bottlenecks in the …
TurboQuant achieves up to 8x speed improvements on modern GPUs without sacrificing model accuracy Google Research has announced TurboQuant, a compression algorithm that could meaningfully change the economics of running large AI models. According to Google’s benchmarks, it shrinks memory usage by at least 6x and delivers up to 8x speed improvements on modern GPUs — with no accuracy loss. If …
Enterprise
