…the first is LLM, which is currently the most popular model. LLMs are AI models that have been pre-trained on a large set of data and feature various parameter sizes. But…
…TSMC Advances Defect Inspection With NVIDIA Metropolis and AI Models. As chips become more advanced, even the smallest defects can affect quality and yield, making faster and more accurate inspection essential to…
…Huawei, with CANN Next and Ascend 950PR, is looking to step up its influence within the Chinese AI industry, yet the only constraints holding it back are chip volume and whether customers…
…ll make them much faster and more responsive than previous launches, not to mention provide a major boost for AI-related operations. In short, a 2nm chipset upgrade isn’t the only…
…This Could Be OpenAI's Future AI Chip Plans In a new patent titled " Non-Adjacent Connection of High-Bandwidth Memory Chiplets, I/O Chiplets, And Compute Chiplets Through Embedded Logic Bridges…
The Neural Engine in Apple chipsets like the M4 is only available for Inference, allowing developers to run pre-trained AI models but not to train new ones. Fortunately, one individual has…
…The investment encompasses AI infrastructure, energy, and manufacturing projects, which will create thousands of jobs across America. Related Story NVIDIA’s Nemotron 3 Super Tops The Open-Source AI Model Chart, Beating…
…AI chips and mobile SoCs. Unfortunately, the complexities of mass-producing these advanced wafers at a monumental scale pose a major challenge for multiple smartphone companies planning to use these chipsets in…
…On-prem AI with data sovereignty, deterministic latency, and fixed infrastructure cost. The company says that the HTX301 PCIe AI accelerator is its first inference chip that is built upon the HyperThought…
…Ascend 950PR chip, which entered mass production in March. The Ascend 950PR features support for MXFP4, a key instruction set that drives AI models such as DeepSeek V4, and features up to…