A Tensor Processing Unit (TPU) is a specialized chip designed to accelerate AI and machine learning (ML) tasks. Unlike traditional computer processors (CPUs) or graphics processing units (GPUs), TPUs ...

Just as GPUs once eclipsed CPUs for AI workloads, Neural Processing Units (NPUs) are set to challenge GPUs by delivering even faster, more efficient performance—especially for generative AI, where ...

With MassiveFold, scientists have unlocked AlphaFold's full potential, making high-confidence protein predictions faster and more accessible, fueling breakthroughs in biology and drug discovery. Brief ...

Parallel programming is a method of organising parallel, simultaneous computations within a program. In the traditional sequential model, code is executed step by step, and at any given moment, only ...

At the core of a quantum computer is the quantum processor, but these technologies are vastly different from the CPUs found in conventional computers. When you purchase through links on our site, we ...

Modern computing has many foundational building blocks, including central processing units (CPUs), graphics processing units (GPUs) and data processing units (DPUs). However, what almost all modern ...

Multi-core processors theoretically can run many threads of code in parallel, but some categories of operation currently bog down attempts to raise overall performance by parallelizing computing. Is ...

The evolution of generative AI is not just reshaping our interaction and experiences with computing devices, it is also redefining the core computing as well. One of the key drivers of the ...

Flow Computing, a Finnish startup, has introduced a novel chip technology with the potential to boost Central Processing Unit (CPU) performance significantly. Their Parallel Processing Unit (PPU) ...