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Giấy phép số 4978/GP-TTĐT do Sở Thông tin và Truyền thông Hà Nội cấp ngày 14 tháng 10 năm 2019 / Giấy phép SĐ, BS GP ICP số 2107/GP-TTĐT do Sở TTTT Hà Nội cấp ngày 13/7/2022.
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Japan is considering a proposal to tighten income requirements for long-term residence applications as part of broader measures Prime Minister Sanae Takaichi is weighing to manage the rapidly rising number of foreigners in the country. Current long-term residence framework Japan currently has about 940,000 people with long-term residence status, representing…
The server-chip race is intensifying as AI agents increase demand for more versatile compute. ARM has unveiled its latest AGI-focused CPU, positioning it as ready to compete directly with the x86 platform.
ARM says its AGI CPU is designed to address limitations in running AI agents on Intel- or AMD-based systems. Mohamed Awad, an ARM spokesperson, argues that Intel and AMD CPUs are not designed to efficiently handle the next generation of AI workloads. He specifically criticizes Intel’s SMT (Hyper-Threading) as an outdated architecture.
ARM also claims its AGI CPU is optimized for modern AI tasks, citing a lightweight SIMD mode and what it describes as superior compute density.
Intel executive vice president Kevork Kechichian counters ARM’s critique of SMT, saying the argument is marketing that obscures the fact that ARM cores generally do not support SMT. He also points to NVIDIA’s Vera CPU with the Olympus core, which supports SMT, as evidence that the feature remains relevant in the server market.
On density claims, Kechichian cites Intel’s Xeon Clearwater Forest, which he says achieves high compute density with 288 cores per socket. He adds that, while density is strong, memory bandwidth per core still lags.
Despite the technical dispute, the article suggests ARM could benefit from ecosystem advantages. It notes that Meta has reportedly shown interest in adopting AGI CPUs, and that ARM cores have demonstrated effectiveness on NVIDIA’s Grace platform.
Intel, meanwhile, appears to be focusing primarily on networking workloads within the server segment and has not yet deeply moved into multi-purpose AI computing, according to the article.
As AI agents and orchestration tasks become more common, the total addressable market for versatile AI compute is expected to expand, creating opportunities for multiple players in the competition.
Premium gym chains are entering a “golden era” that is ending or already in decline, as rising operating costs collide with shifting consumer preferences toward more flexible, community-based ways to exercise. Long-term memberships are shrinking, margins are pressured by higher rents and facility expenses, and competition from smaller, more personalized…
