Investigations, conducted together with scientists at CERN, show promising results – with breakthrough performance – in their pursuit of faster Monte Carlo based simulations, which are an important ...
Essentially all AI training is done with 32-bit floating point. But doing AI inference with 32-bit floating point is expensive, power-hungry and slow. And quantizing models for 8-bit-integer, which is ...
1. Flex Logix’s nnMAX 1K inference tile delivers INT8 Winograd acceleration that improves accuracy while reducing the necessary computations. The InferX X1 chip includes multiple nnMax clusters. It ...
The best kinds of research are those that test new ideas and that also lead to practical innovations in real products. It takes a keen eye to differentiate science projects, which can be fun but which ...
Nvidia just paid $20 billion for Groq's inference technology in what is the semiconductor giant's largest deal ever. The question is: Why would the company that already dominates AI training pay this ...
The general definition of quantization states that it is the process of mapping continuous infinite values to a smaller set of discrete finite values. In this blog, we will talk about quantization in ...
Nvidia Corp. is speeding up artificial intelligence inference with the launch of the next generation of its TensorRT software today. TensorRT 8 is the eighth iteration of Nvidia’s popular AI software ...
South Korean startup FriendliAI has raised $20 million in a seed extension round to support its efforts to accelerate AI inferencing. FriendliAI offers an inference platform designed to accelerate AI ...
Results that may be inaccessible to you are currently showing.
Hide inaccessible results