…Beyond lithography, TSMC is applying AI and accelerated computing to transistor and process simulation. Semiconductor process development requires detailed modeling of materials, device structures, and manufacturing interactions. NVIDIA’s cuEST library enables…
…Tech incumbents such as Alibaba and Baidu are trying to build the whole AI stack, from models to chips, rather than just renting someone else’s toys. The company said on a…
…OpenAI and Anthropic have made significant improvements in model reliability in recent years, but their chatbots still require hand-holding. Purpose-built AI agents or claws, on the other hand, are designed…
…times the AI and graphics performance. It’s worth noting that Apple also trots out Adobe numbers when talking about its Mac chips, stating the M5 Pro and Max models offer a…
…Broader industries, from energy to healthcare, benefit as AI physics democratizes high-fidelity modeling. Yet challenges remain: ensuring AI agents’ trustworthiness in safety-critical apps and scaling GPU infrastructure amid chip shortages…
…AI agents are the next step from LLMs (large language models), and can perform complex generation on demand. They require both powerful processing and quite a bit of memory, which is where…
…And hence it divulged the “Athena” Maia 100 XPU in November 2023 with very few details and some rack photos. The Maia 100 chip was designed to support both AI training and…
…Core to ChipStack AI Super Agent is what Cadence calls its Mental Model, which provides a structured and persistent understanding of the intent of engineers, acting as a single source of truth…
…Li and her colleagues figured that the effect would be even more pronounced for AI cloud customers. Performance varies for GPU models in the cloud So they ran 6,800 instances of…
…chips with designs focused on AI workloads, but their performance still trails foreign competitors. The company aims to improve cost-effectiveness through deeper integration with Alibaba's cloud and AI models, prioritizing…
