Groq Inc's AI chip delivers blistering 800 tokens/sec inference on Meta's LLaMA 3 model, potentially reshaping the landscape of AI hardware.
The Intel Gaudi 3 AI accelerator is designed to enhance the capabilities of data centers focusing on AI compute demands, particularly for generative AI and large language models. This accelerator improves speed, scalability, and developer productivity, making it a valuable tool for enterprises and developers working with advanced AI applications. This quick overview guide will […]
The move by Intel is a substantial increase in memory speeds from prior generations.
NVIDIA’s AI can intelligently combine a variety of data from games in DLSS 3.5 and Ray Reconstruction to present more accurate detail at higher resolutions while improving performance. Advertorial Disclosure: Advertiser Content From NVIDIA
Su claimed that AMD's MI300X GPUs offer better inferencing performance and significant total cost of ownership advantages compared to Nvidia's H100 GPUs. read more
Usually, when you go to see one of the big hardware powerhouses, the presentations are primarily focused around… well, you know - hardware. That’s been shifting over the years, however, as specialized software becomes an increasingly vital part of the computer hardware battleground.Nvidia has led much of this charge. When you buy an RTX-series GPU, you’re not just buying it for the raw rasterization power - that is to say, how many pixels and frames it can push with the maximum visual bells and...
The city of Springfield was buzzing with excitement as the highest level of international basketball 3 x 3 teams competed it out starting Monday night.
Amazon, Google, Meta, AMD, and Intel have big ambitions to catch up with
It's roughly equivalent to the loose change currently located in the couch cushions in Nvidia's lobby.
FPT plans to use Nvidia's support to boost AI research in Vietnam
Intel has missed most of the significant technology transitions over the past 15-plus years, losing its standing in the chip industry along the way.
A16, set to enter production in the second half of 2026, will use leading nanosheet transistors and what TSMC calls an "innovative" backside power rail solution to bring "revolutionary performance" to the wafer level. While traditional chip designs involve power flowing from the top down, the backside power rail systemRead Entire Article