Category: Devices

How Analog Computing is Reimagining Data Science

November 1, 2025November 1, 2025 Katherine Brown

The Digital Bottleneck: Why Analog is Needed Digital computers, from your laptop to the world’s largest supercomputers, are brilliant at precision, programmability, and versatility. However, their architecture has a major flaw when it comes to the core operation of Deep Learning: Analog computing, particularly in the context of neuromorphic and in-memory architectures, proposes a radical…

AI, Devices

The VRAM Evolution

September 2, 2025September 2, 2025 Tom Williams

Modern computing, particularly for tasks like AI, machine learning, and high-resolution gaming, is increasingly limited by VRAM (Video Random Access Memory). VRAM is a type of high-speed memory dedicated to the GPU, used to store data like textures, frame buffers, and complex models. The core challenge is the constant need to load larger datasets and…

Why GPU are important for AI?

November 20, 2023January 4, 2025 Tom Williams

Features in chips, systems and software make NVIDIA GPUs ideal for machine learning with performance and efficiency enjoyed by millions. GPUs are the dominant computing platform for accelerating machine learning workloads, and most (if not all) of the biggest models over the last five years have been trained on GPUs … [they have] thereby centrally…

Devices