Because we’ve got some exciting news for ya!

Introducing the NVIDIA H100 GPU a game-changer in the world of AI. This bad boy can boost transformer engine performance by an astounding 30x, making your inference times faster than you ever thought possible!

But what exactly is a transformer engine? Well, it’s basically a fancy way to say that we’re using neural networks to process and analyze data. And let me tell ya, these babies are the future of AI. They can handle complex tasks like natural language processing, image recognition, and even predicting stock prices!

But here’s the thing transformer engines aren’t exactly speed demons. They can be pretty slow when it comes to inference (the process of using a trained model to make predictions). That’s where the NVIDIA H100 GPU comes in. This beast has 4,608 CUDA cores and can handle up to 352 Teraflops of performance!

So how does it work? Well, let me break it down for you. The NVIDIA H100 GPU uses a technique called “Flash Attention” to speed up transformer engine inference times by up to 30x. This involves breaking the attention mechanism (which is one of the most computationally expensive parts of a transformer) into smaller, more manageable chunks that can be processed simultaneously. And let me tell ya, it’s pretty ***** impressive!

But don’t just take our word for it check out this study by Towards Data Science that shows how combining optimization techniques like CPU offload, half-precision, and Flash Attention 2 (or Better Transformer) can improve transformer engine performance even more. In fact, they were able to generate 17 times the throughput with a batch size of 16 on an NVIDIA A100 GPU!

So if you’re ready to take your AI game to the next level and boost your transformer engine performance by up to 30x, then it’s time to get yourself an NVIDIA H100 GPU. Trust us your data will thank you for it!