He explains the 3 significant benefits of GPU architecture over CPUs, but doesn’t explain why the problems associated with deep learning are better solved by having those 3 benefits.

That means developers will soon be able to run MLX models directly on NVIDIA GPUs, which is a pretty big deal. Here’s why.

Nvidia was founded on April 5, 1993, and is a world leader in Artificial Intelligence with a focus on GPU technology.

TSMC fabricates the Tesla Dojo chips used by Tesla and XAI and they make the Nvidia GPUs. The relative production depends upon percentage of wafers allocated to each customer. If XAI gets $300 billion ...

NVIDIA’s Hopper H100 Tensor Core GPU made its first benchmarking appearance earlier this year in MLPerf Inference 2.1. No one was surprised that the H100 and its predecessor, the A100, dominated ...

Features like Frame Generation and Deep Learning Super Sampling (DLSS) upscaling, both reliant on AI, go a long way to giving Nvidia the edge in the ongoing best graphics card tug of war against ...

In a recent speech at CalTech, Jensen Huang, CEO of NVIDIA Corporation NVDA, shed light on the company’s significant investments in deep learning. What Happened: Huang recalled the significant ...

At Hot Chips 2024 next week, NVIDIA will go into more detail about the Blackwell GPU architecture while also reminding us that it features not one, but two reticle-limited GPUs merged into one.