Among the biggest market drivers over the past couple of years have been the developments in the artificial intelligence (AI) industry. In simplest terms, AI's advanced algorithms
Meta CEO Mark Zuckerberg outlines new AI capital expenditure for 2025: $65 billion ready for 1.3 million AI GPU datacenter this year.
Pipeshift has a Lego-like system that allows teams to configure the right inference stack for their AI workloads, without extensive engineering.
Nvidia’s H series GPUs optimized for AI learning tasks have been widely adopted for training AI models. However, the AI semiconductor market is unde
T he surge of interest in AI is creating a massive demand for computing power. Around the world, companies are trying to keep up with the vast amount of GPUs needed to power more
DLSS 4 is arguably the biggest selling point of the new RTX 50-series, but any Nvidia RTX GPU can benefit. Here's how.
The Biden export limits, enacted during his last days in office, may drive data center construction to US allies while forcing China and Russia to develop their own AI chips.
This chip cojoins existing AMD CPU and GPU architectures, along with a high speed memory interface, in an unprecedented way, compared to traditional X86 chip designs.
The explosive growth of ChatGPT has triggered unprecedented demand for artificial intelligence (AI) computing power, leading to industry-wide supply constraints. While Nvidia maintains its stronghold as the premier AI GPU provider,
AMD's new Strix Point APU features an integrated Radeon 890M GPU based on the newer RDNA 3.5 GPU architecture, supporting up to 8K resolutions, and multiple video outputs through HDMI 2.1, USB4 Type-C, and DisplayPort 2.0 allow for countless display configurations.