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 ...

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 ...

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 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 ...

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 ...