The artificial intelligence revolution hinges on hardware, and for years, Nvidia has reigned supreme with its versatile GPUs.

ACM, the Association for Computing Machinery, today announced that Jingsheng Jason Cong, the holder of the Volgenau Chair for ...

Field Programmable Gate Arrays (FPGAs) and Graphics Processing Units (GPUs) are the two main hardware solutions for most AI operations. According to the precedence research group, the global AI in ...

In 2024, this segment, which includes Epyc CPUs, Instinct GPUs, Pensando DPUs, and Xilinx FPGA accelerators, accounted for nearly half of its $25.79 billion in revenue. The company’s Instinct ...

Have you ever wondered how a GPU works? Even better, have you ever wanted to make one? [Dylan] certainly did, because he made FuryGPU — a fully custom graphics card capable of playing Quake at ...

The physics library for games is now also available with sources for GPUs for the first time. This opens up completely new ...

Offering over 3.8 million logic elements, Agilex 7 FPGA M-Series is optimized for applications that demand the highest performance and highest memory bandwidth, including AI, data centers, ...

The GPU as a Service market is expected to grow from USD 8.21 billion in 2025 and is estimated to reach USD 26.62 billion by ...

Agilex 7 FPGA M-Series addresses these challenges by ... achieving over 93% bandwidth utilization—far surpassing the typical 10-30% seen in GPU-based systems. This advancement allows us to ...