Users running a quantized 7B model on a laptop expect 40+ tokens per second. A 30B MoE model on a high-end mobile device ...

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 ...

If you control your code base and you have only a handful of applications that run at massive scale – what some have called hyperscale – then you, too, can win the Chip Jackpot like Meta Platforms and ...

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 ...

FriendliAI also offers a unique take on the current memory crisis hitting the industry, especially as inference becomes the dominant AI use case. As recently explored by SDxCentral, 2026 is tipped to ...

Here is a blueprint for architecting real-time systems that scale without sacrificing speed. A common mistake I see in ...

The feature image you see above was generated by an AI text-to-image rendering model called Stable Diffusion. Stable Diffusion typically runs in the cloud via a web browser, and is driven by data ...

Israeli startup Deci claims to have achieved breakthrough performance in running computer vision and natural language processing (NLP) models on Intel’s latest Xeon processor. Delivering graphics ...