Reports
AI-generated structured vendor updates
ARM Builds Its First Chip in 35 Years: AGI CPU Targets AI Data Centers, Meta First Customer
ARM announces its first in-house CPU in 35 years, the AGI CPU, targeting AI and data center workloads. Meta is the launch customer. Built on TSMC's 3nm process, the chip focuses on performance-per-watt, directly challenging x86 dominance and fundamentally restructuring ARM's business model from IP licensor to merchant silicon vendor.
AMD and NAVER Cloud Collaborate on Sovereign AI Infrastructure in Korea
AMD and NAVER Cloud announced a strategic collaboration to accelerate sovereign AI infrastructure in Korea. NAVER Cloud will expand deployment of AMD EPYC "Venice" CPUs and gain early access to next-gen Instinct MI455X GPUs, with joint optimization of AI services and software stacks on AMD platforms.
AMD and Samsung Deepen Collaboration, Locking HBM4 Supply and Exploring Foundry Partnership
AMD and Samsung signed an MOU, designating Samsung as the primary HBM4 supplier for the next-gen Instinct MI455X GPU and collaborating on DDR5 memory optimized for 6th Gen EPYC CPUs. The companies will also explore opportunities for Samsung to provide foundry services for future AMD products.
HPE Positions AI Data Pipeline as the Platform, Outlining Pillars for Production AI
HPE argues enterprise AI is shifting from experimentation to production, reliant on an infrastructure platform comprising the data pipeline, unified storage, and accelerated compute. It highlights three pillars for success: consistent performance, predictable scaling, and long-term cost efficiency, addressing the complexities of AI workloads in production.
Cisco Reports AI Infrastructure and Campus Networking Dual-Cycle Growth
Cisco's Q2 FY2026 results show $2.1B in AI infrastructure orders and a multi-year campus networking refresh cycle, with networking product orders growing over 20% YoY.
Trend Micro Highlights Power Automate as an Enterprise Automation Security Blind Spot
Trend Micro's research report reveals that the complexity of low-code automation tools like Microsoft Power Automate is being exploited by cybercriminals to evade detection and exfiltrate data. The study highlights critical security risks from visibility gaps within automation platforms and warns of growing demand for such attack capabilities in the cybercriminal underground.