是什么让CPU从AI算力界的“冷板凳”上站起，成为需要被单独规划的核心资源池？国金证券等多个机构总结道， Agent对CPU需求提升主要来自三方面，即应用调度压力、高并发工具调用成为瓶颈，以及沙箱隔离抬升刚性开销 。

在人工智能算力需求持续爆发的背景下，传统处理器巨头英特尔（Intel）正式迈出了挑战行业领导者英伟达（NVIDIA）的关键一步。公司首席执行官陈立武（Lip-Bu ...

根据TrendForce ...

GPU prices are finally normal, and you might have found yourself in recent weeks browsing graphics cards reviews to see which ones top the charts. After all, the best graphics cards live and die based ...

3DMark and Superposition are considered two of the most reliable GPU benchmarking tools out there. Cinebench 2024 is also a great option to consider if you want to test both the CPU and GPU for ...

Intel Arc GPU benchmarks have arrived, and the A770 appears to live up to RTX 3060 performance expectations. The A750 can't quite keep up with Nvidia's entry-level graphics card, but it could pack ...

For sure, the GeForce RTX 4090, RTX 4080, and RTX 4070 Ti are cool graphics cards, but the value proposition as well as the way the specifications are trending have left some folks wondering what ...

智通财经APP获悉，东吴证券发布研报称，AI落地方向来到Agent，由“纯对话”转向“执行任务”时，算力需求发生了结构性分化。1)执行控制流CPU化；2)记忆体系去GPU化。进入Agent时代后，CPU侧的工具执行与调度能力将从GPU的附属角色，演化为需要被单独规划与优化的核心资源池。随着Agent商业化推进，厂商必须持续压低每次任务执行成本。在长上下文与高并发Agent场景中，大内存CPU是承载 ...

得益于 SoIC 技术的引入，M5 Pro 和 M5 Max 芯片有望实现 CPU、GPU 和神经网络引擎等核心组件的独立裸片集成。这意味着用户在购买 Mac 时，不再受限于固定的处理器规格组合，而是可以根据自身需求灵活搭配。