CODA: A New Approach to Transformer Efficiency

The introduction of CODA presents a transformative method for optimizing Transformer block computations, enhancing both performance and efficiency in machine learning tasks.

The introduction of CODA presents a transformative method for optimizing Transformer block computations, enhancing both performance and efficiency in machine learning tasks.

A year of self-hosting local LLMs reveals that the GPU isn't the primary bottleneck; rather, it's the surrounding infrastructure and workflow integration that determine productivity.

Nscale, a UK-based cloud computing firm, announces the addition of three former Meta executives to its board as it secures $2 billion in Series C funding.

For the first time in over thirty years, Nvidia will not release a new gaming GPU in 2026, signaling a significant change in the company's focus and the broader GPU market.

Nvidia is reportedly preparing to launch its system on a chip (SoC) technology for Windows PCs, aiming to compete directly with Intel and AMD in the consumer market.

Many gamers may be overspending on high-end GPUs that exceed their actual needs. Here's a closer look at the current GPU market and what most users really require.

Despite being considered outdated, several legacy GPUs continue to deliver significant performance and value for various workflows, making them worthwhile options in the second-hand market.

The Nvidia H100 is setting new benchmarks in the AI landscape with its advanced capabilities and performance metrics.

Nvidia's stock has seen a notable drop as Amazon unveils new chips aimed at challenging the AI leader's dominance in the market.