Japan's scientific community is charting an ambitious path forward in high-performance computing with FugakuNEXT, a supercomputer that aims to leap beyond current exascale systems and reach ...

RIKEN is collaborating with Fujitsu Limited and NVIDIA on an initiative to develop "FugakuNEXT," which RIKEN called Japan's ...

GPUs are very important for AI workloads, but it's also important to consider the underlying hardware and ensure that it's fit for purpose. Network architecture and interconnects are critical for ...

Fujitsu's plans for the new GPU allocation technology are mainly focused on "Kozuchi," the company's AI platform designed to provide customers with a quick way to test "advanced AI technologies." ...

Huang noted that GPU-based systems can better optimize performance, accelerating processing by up to 50 times compared to CPU-based systems.

Posted in computer hacks Tagged CPU architecture, gpu, parallel computing ← Piezo Sensor Reviewed Booting A Desktop PDP-11 → ...

How Do GPUs Work? GPUs work via parallel computing, which is the ability to perform several tasks at once. It is also what makes them so valuable. GPU parallel computing enables GPUs to break complex ...

The 1350 GPU is a 450-Watt OAM module with 112 Xe cores and 96GB of HBM. The 1550 GPU is a 600-Watt OAM module with 128 Xe cores and 128GB of HBM.

Technical Terms Graphics Processing Unit (GPU): A specialised processor designed to expedite parallel computations, particularly useful in handling large-scale data processing and rendering tasks.